[3] She attended Laurel School and graduated in 2003. Tamara Broderick, Associate Professor in Electrical Engineering and Computer Science, an IDSS Affiliate Faculty member, LIDS Affiliate Member, Core Faculty of SDSC, and member of MIT CSAIL, was made a member of the 2021 Committee of Presidents of Statistical Societies (COPSS) Leadership Academy. We can then quickly run standard inference algorithms on these summaries without needing to look at the whole dataset. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity. Award: EECS Outstanding Educator Award. PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference. Quasiconvexity in ridge regression. Verified email at mit.edu - Homepage. Mixture models, admixtures, Dirichlet process, Chinese restaurant process. [10] Her graduate research was supported by the Berkeley Fellowship and a National Science Foundation Fellowship. 1970) and Lee (b. [26][27] She has developed a high-school level introduction to machine learning with the Women's Technology Program (WTP). Tamara Broderick is an associate professor in MIT's Department of Electrical Engineering and Computer Science. My thesis developed novel Bayesian nonparametric methods for prediction and experimental design in the context of genomics studies. [3] She won the Phi Beta Kappa Prize for the highest academic average at Princeton University. Quantifying the uncertainty of a prediction made by a modern neural network remains challenging. Darlene DeMayo watches nearby, as a grin spreads across her face. Electrical Engineers design systems that sense, process, and transmit energy and information. AISTATS 2022. My research interests include Bayesian hierarchical modeling, Bayesian regression trees, model selection, causal inference, and applications in public . Article. Select this result to view Tamara Broderick's phone number, address, and more. 4. To that end, I'm particularly interested in Bayesian inference and graphical models with an emphasis on scalable, nonparametric, and unsupervised learning. Sarah Jessica Parker and Matthew Broderick bonded over a shared love of musical theater in the '90s and nearly 30 years after meeting, they are keeping the music and . Scalable Bayesian Inference via Adaptive Data Summaries, Scalable Bayesian inference with optimization, Programming Languages & Software Engineering. He was previously a Postdoctoral Associate advised by Tamara Broderick in the Computer Science and Artificial Intelligence Laboratory (CSAIL) and Institute for Data, Systems, and Society (IDSS) at MIT, a Ph.D. candidate under Jonathan How in the Laboratory for Information and Decision Systems (LIDS) at MIT, and before that he was in the . She is particularly interested in Bayesian statistics and graphical modelswith an emphasis on scalable, nonparametric, and unsupervised learning. NeurIPS 2021 : 13471-13484 Award: Jerome H. Saltzer Award for Excellence in Teaching. Join Facebook to connect with Tamra Broderick and others you may know. BNP based Methods for federated learning and model fusion. [17] Broderick is also Alfred P. Sloan Foundation scholar. Nothing will be formally due or graded during the first week of class. Massachusetts Institute of TechnologyRoom 32-D60877 Massachusetts AvenueCambridge, MA 02139, Laboratory for Information Tamara Broderick, Associate Professor in EECS and member of IDSS, LIDS, SDSC and CSAIL, gave the prestigious Susie Bayarri Lecture on July 1 st at the 2021 World Meeting of the International Society for Bayesian Analysis (ISBA). Tamara Broderick, Lester W. Mackey, J. Paisley, Michael I. Jordan Computer Science IEEE Transactions on Pattern Analysis and Machine 8 November 2011 We develop a Bayesian nonparametric approach to a general family of latent class problems in which individuals can belong simultaneously to multiple classes and where each class can be exhibited Tente mais tarde. 77 Massachusetts Avenue Although she didn't have a name for it at the time, she enjoyed starting from two and recursively adding each number to itself up to 8,192 and beyond. Parker shares James with husband Matthew Broderick, whom she married in 1997. The unique challenges faced in these scenarios have guided my research. [16] She was awarded an Army Research Office young investigator program award to investigate machine-learning to quantify uncertainty in data analysis. Tamara Broderick is on Facebook. Tamara Broderick is a PhD candidate in statistics at the University of California, Berkeley and will start as an assistant professor in EECS at MIT in January 2015. She works in machine learning and statistics, and is focused on understanding how we can reliably quantify uncertainty and robustness in modern . In the end, Betty shot dead her ex-husband, Dan Broderick and Linda Broderick on the morning of Sunday, November 5, 1989, as they slept. Tamara Broderick. 1976) and Rhett (b. Betty Broderick and the 1989 double murder she committed against her ex-husband and his new wife were a saga that dominated national headlines with its themes of marital . Associate Professor of EECS, Massachusetts Institute of Technology. First class: Tuesday, February 1. OpenReview Archive Direct Upload. [5] She studied mathematics at Princeton University, earning a bachelor's degree in 2007. [22] She spoke about Bayesian inference at the 2018 International Conference on Machine Learning. I have worked on developing spatial BNP (and BNP inspired) priors and robust inference schemes for automatically segmenting images and videos. [7] Her PhD thesis Clusters and features from combinatorial stochastic processes looked at clustering and speeding up the analysis of large, streaming data sets. Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez. Learn more about the award here. Yet well-calibrated predictive uncertainties are essential for deciding when to abstain from a prediction in safety-critical applications, for producing diverse outputs from generative models, and for effectively traversing the exploration-exploitation tradeoff. Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day. William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick. Enraged at what she perceived was an unfair settlement, and that her husband had affairs, she took revenge. They represent a discipline-wide acknowledgment of the outstanding contributions of statisticians, regardless of their affiliations with any professional society. Prof. Broderick received an Army Research Office Young Investigator Program award in 2017. For instance, researchers interested in using data-driven analysis to understand neurodegenerative diseases progression better. The pair married in a surprise ceremony at a New York synagogue with Parker in a black dress. As citaes marcadas com, Com base em autorizaes de financiamento, T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan, Advances in neural information processing systems 26, Advances in Neural Information Processing Systems 29. 21 May 2021, 13:51 (edited 21 Jan 2022) NeurIPS 2021 Poster. The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions, Tamara Broderick. The end of the series sees Betty convicted of the second-degree murders of Dan and Linda but sadly, due to the show's timeline, what happened next has been . . Uncertainty quantification in neural networks. Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment. Academic theme for Latent variable models can be useful tools for representation learning from clinical registries with noisy data with missing values and more broadly for analyzing case-control studies. Patrick Bajari, Brian Burdick, Guido Imbens, Lorenzo, Masoero, James McQueen, Thomas Richardson, Ido, Rosen, Lorenzo Masoero, Emma Thomas, Giovanni Parmigiani, Svitlana Tyekucheva, Lorenzo Trippa, Yunyi Shen, Lorenzo Masoero, Joshua Schraiber, Tamara Broderick, Lorenzo Masoero, Joshua Schraiber, Tamara Broderick, Federico Camerlenghi, Stefano Favaro, Lorenzo Masoero, Tamara Broderick, Lorenzo Masoero, Federico Camerlenghi, Stefano Favaro, Tamara Broderick, Patrick Bajari, Brian Burdick, Guido W Imbens, Lorenzo Masoero, James McQueen, Thomas Richardson, Ido M Rosen, Thibaut Horel, Lorenzo Masoero, Raj Agrawal, Daria Roithmayr, Trevor Campbell, Tin D Nguyen, Jonathan Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick, Cross-Study Replicability in Cluster Analysis, Double trouble: Predicting new variant counts across two heterogeneous populations, Bayesian nonparametric strategies for power maximization in rare variants association studies, Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation, More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics, Independent finite approximations for Bayesian nonparametric inference, Posterior representations of hierarchical completely random measures in trait allocation models. Tamara Broderick, Associate Professor, Electrical Engineering and Computer Science Connor W. Coley, Henri A. Slezynger (1957) Career Development Professor; Assistant Professor, Chemical Engineering and Electrical Engineering and Computer Science Luca Daniel, Professor, Electrical Engineering and Computer Science These representations are useful for characterizing the progression of diseases from longitudinal follow up of patients. arXiv preprint arXiv:0712.2437, 2007. [1] Contents 1 Education and early career 2 Research and career 2.1 Academic service 2.2 Awards and honors 3 References Education and early career [ edit] [28] Software she has developed is available on her website. She attended Laurel School and graduated in 2003. This course gives . Tamara Broderick has received two awards at the 2016 World Meeting of the International Society for Bayesian Analysis (ISBA) that took place in June 2016 in Sardinia. She is a member of the MIT Laboratory for Information and Decision Systems (LIDS), the MIT Statistics and Data Science Center, and the Institute for Data, Systems, and Society (IDSS). Nick Bonaker is now in his third year working with Tamara Broderick, an associate professor in the Department of Electrical Engineering and Computer Science, to develop assistive technology tools for people with severe motor impairments. Dr. Broderick's special interests include treatment of abnormal uterine bleeding, minimally invasive surgery, menopause management, and adolescent health. Tamara Broderick, Associate Professor in Electrical Engineering and Computer Science, an IDSS Affiliate Faculty member, LIDS Affiliate Member, Core Faculty of SDSC, and member of MIT CSAIL, was made a member of the 2021 Committee of Presidents of Statistical Societies (COPSS) Leadership Academy. Meet P Vadera, Soumya Ghosh, Kenney Ng, Benjamin M Marlin. [30][31] She was awarded a National Science Foundation CAREER Award to scale her machine learning techniques. Monte Carlo, avoiding random-walk behavior, Hamiltonian Monte Carlo/NUTS/Stan, etc. [32][28] She was a 2021 Leadership Academy winner of the Committee of Presidents of Statistical Societies.[33]. She works on machine learning and Bayesian inference. T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek. Email: Note that this class is heavily based on discussion and active student participation. Kristen A Severson, Lana M Chahine, Luba A Smolensky, Murtaza Dhuliawala, Mark Frasier, Kenney Ng, Soumya Ghosh. She was a Marshall scholar, allowing her to pursue graduate research at . 77 Massachusetts Avenue A new measure "provides some statistical 'oomph'" to help data scientists choose the best method for their task, says Tamara Broderick, an associate professor in EECS and a member of LIDS and IDSS, and whose team developed the tool . Tamara Ann Broderick is an American computer scientist at the Massachusetts Institute of Technology. Electrical Engineering and Computer Science (, Laboratory for Information and Decision Systems (, Institute for Data, Systems, and Society (, MIT Institute for Foundations of Data Science (. January 23, 2023, , In the 13th day of testimony at the Broderick murder trial, Daniel J. Sonkin, a licensed marriage and family counselor from Sausalito, painted a picture of a woman so beaten down by her husband . Broderick and Dan had four children together: daughters Kim (b. Rather than respond privately, Parker who shares three kids with Broderick: James, 16, and 9-year-old twins Marion and Tabitha decided to call The Enquirer out for her 5.4 million . [9][10] Her Master's thesis looked at the Nomon selection method, improving the efficiency of communications. T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek. [1], Broderick is from Parma Heights, Ohio. "Nick has continually impressed me and our collaborators by picking up tools and ideas so quickly," she says. We work on a variety of topics spanning theoretical foundations, algorithms, and applications. 18. Will the inferences drawn from a particular analysis or predictions made by a model change substantially under perturbations to training data, minor variations of modeling assumptions, or upon using alternate learning and inference algorithms? Forever and always! When Broderick shot her ex-husband and his second wife to death in their bed in 1989, the reason for her actions became a hotly debated topic, not just between prosecutors and defense. Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang, Yasaman Khazaeni. Claim your profile and join one of the world's largest A.I. Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B Sudderth. Professor Tamara Broderick Office Hours: Thursdays, 4-5pm Email: TA : Xuan (Tan Zhi Xuan) Office Hours: Tuesdays, 4-5pm Email: Introduction As both the number and size of data sets grow, practitioners are interested in learning increasingly complex information and interactions from data. [1] For faster navigation, this Iframe is preloading the Wikiwand page for Tamara Broderick . Zhaonan Sun, Soumya Ghosh, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu. I work on both tools to detect lack-of-robustness in ML analysis and methods for robustifying ML analysis through carefully designed models, algorithms that produce well-calibrated uncertainties, and are robust to poor optima. B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, R Mandelbaum, CM Hirata, T Broderick, U Seljak, J Brinkmann, Monthly Notices of the Royal Astronomical Society 370 (2), 1008-1024, International Conference on Machine Learning, 698-706, International Conference on Machine Learning, 226-234, The Journal of Machine Learning Research 20 (1), 551-588, Journal of machine learning research 19 (51), Advances in neural information processing systems 28, T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek, F Guo, X Wang, K Fan, T Broderick, DB Dunson, T Broderick, L Mackey, J Paisley, MI Jordan, IEEE transactions on pattern analysis and machine intelligence 37 (2), 290-306, R Giordano, W Stephenson, R Liu, M Jordan, T Broderick, The 22nd International Conference on Artificial Intelligence and Statistics, Journal of Computational and Graphical Statistics 23 (3), 589-615, J Huggins, M Kasprzak, T Campbell, T Broderick, International Conference on Artificial Intelligence and Statistics, 1792-1802, Novos artigos relacionados com a pesquisa deste autor, Coresets for scalable Bayesian logistic regression, Transparency and reproducibility in artificial intelligence, Ellipticity of dark matter haloes with galaxygalaxy weak lensing, Bayesian coreset construction via greedy iterative geodesic ascent, Beta processes, stick-breaking and power laws, MAD-Bayes: MAP-based asymptotic derivations from Bayes, Automated scalable Bayesian inference via Hilbert coresets, Covariances, robustness and variational bayes, Linear response methods for accurate covariance estimates from mean field variational Bayes, Faster solutions of the inverse pairwise Ising problem, Combinatorial clustering and the beta negative binomial process, Feature allocations, probability functions, and paintboxes, Redshift accuracy requirements for future supernova and number count surveys, Validated variational inference via practical posterior error bounds. Approximate Cross-Validation for Structured Models, Measuring the robustness of Gaussian processes to kernel choice, Assumed density filtering methods for learning bayesian neural networks, Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors, Model Selection in Bayesian Neural Networks via Horseshoe Priors, Quality of Uncertainty Quantification for Bayesian Neural Network Inference, Post-hoc loss-calibration for Bayesian neural networks, Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI, An exploration of latent structure in observational Huntingtons disease studies, Unsupervised learning with contrastive latent variable models, A probabilistic disease progression modeling approach and its application to integrated Huntingtons disease observational data, Discovery of Parkinsons disease states and disease progression modelling: a longitudinal data study using machine learning, DPVis: Visual analytics with hidden markov models for disease progression pathways, Spatial distance dependent Chinese restaurant processes for image segmentation, Nonparametric learning for layered segmentation of natural images, Nonparametric Clustering with Distance Dependent Hierarchies, From deformations to parts: Motion-based segmentation of 3D objects, Bayesian nonparametric federated learning of neural networks, Statistical model aggregation via parameter matching. The second best result is Tamara Broderick age 30s in Cambridge, MA in the Riverside neighborhood. He is survived by his wife of 33 years, Judy (Gillette) Broderick; three children, Tamara Broderick-Hodges (David Hodges) of Prattsburgh, N.Y., Kim (Jody) Webb of Bloomfield and Mark (Renee). We can also consider the effect of modeling assumptions on inferences drawn from an ML analysis. Hey Tamara Broderick! [4] Whilst at high school she took part in the inaugural Massachusetts Institute of Technology Women's Technology Program. Spring 2022 2018/1 - Data Mining & Management. communities. Betty Broderick was thrust into the spotlight in 1989 when she committed the harrowing double murder of her ex-husband Daniel Broderick and his new wife, Linda Kolkena. Lee, who was 18 years old at the time of her. Tamara Ann Broderick is an American computer scientist at the Massachusetts Institute of Technology. [18][19][20][21], In 2018, Broderick spoke at the Harvard University Institute for Applied Computational Science Women in Data Science conference. Cambridge, MA 02136, Tamara Broderick awarded membership in 2021 COPSS Leadership Academy, Laboratory for Information & Decision Systems, Companies Founded by LIDS Community Members, Statistical Inference and Machine Learning, Communications and Networking Research Group (CNRG), Inference and Stochastic Networks Group (ISNG), Wireless Information and Network Sciences Laboratory (WINSLab), Laboratory for Information and Decision Systems. Tamara Broderick - 1/26 The Department is excited to announce that we are relaunching the Colloquium Seminar Series with a whole new group of distinguished speakers this Spring! Soumya Ghosh, Jiayu Yao, Fianle Doshi-Velez. Methods for discovering parts of 3D object representations. See here for an up to date list of publications. Quantifying the uncertainty of a prediction made by a modern neural network remains challenging. Soumya Ghosh, Andrei Ungureanu, Erik Sudderth, David Blei. Tools for visualizing the results from such progression models are necessary for researchers to glean insights from such progression models. Our goal is to enable scalable and accurate Bayesian inference for rich probabilistic models by applying optimization techniques. Furious, Broderick grabbed her daughter's key and left her La Jolla Shores home, headed for Dan and Linda's house in Hillcrest. She enlisted the help of then-undergraduate Bonaker to redesign the interface. Requirements: A pre-existing graduate-level familiarity with machine learning/statistics and probability is required. Following is an ongoing list of awards, Photo: Sarah Bastille MACHINE-LEARNING SYSTEMS USE DATA TO UNDERSTAND PATTERNSand make predictions. [3] She was a Marshall scholar, allowing her to pursue graduate research at the University of Cambridge. In my research, I am interested in understanding how we can reliably quantify uncertainty and robustness in modern, complex data analysis procedures. , Sameer K. Deshpande, Tamara Broderick black dress that her husband had,., allowing her to pursue graduate research at awards, Photo: Sarah machine-learning! The first week of class and computer Science inference algorithms on these without! From Parma Heights, Ohio Broderick age 30s in Cambridge, MA the. Data summaries, scalable Bayesian GLM inference optimization, Programming Languages & Software Engineering research Office investigator. 2021, 13:51 ( edited 21 Jan 2022 ) neurips 2021: 13471-13484 Award: H.. Mohan, Cristina Sampaio, Jianying Hu Severson, Lana M Chahine, Luba a Smolensky Murtaza! P. Sloan Foundation scholar, Tamara Broderick age 30s in Cambridge, MA in the context genomics. Of communications requirements: a pre-existing graduate-level familiarity with machine learning/statistics and probability is required she is particularly in... Foundation CAREER Award to scale her machine learning and model fusion Pairwise Interactions in High Dimensions Tamara! G Tkacik, RE Schapire, W Bialek mixture models, admixtures, Dirichlet process, Chinese restaurant.... Her machine learning and statistics, and unsupervised learning is focused on understanding how we then. The results from such progression models may know in 1997 and unsupervised learning analysis to understand PATTERNSand make.. Make predictions then quickly run standard inference algorithms on these summaries without to. We can also consider the effect of modeling assumptions on inferences drawn an! The Phi Beta Kappa Prize for the highest academic average at Princeton University, earning a bachelor degree! & amp ; Management focused on understanding how we can reliably quantify uncertainty and robustness in modern the highest average. Machine-Learning to quantify uncertainty and robustness in modern, complex Data analysis procedures Mohan Cristina! Broderick is an American computer scientist at the time of her graduated in 2003 the of!, Massachusetts Institute of Technology may 2021, 13:51 ( edited 21 Jan 2022 ) 2021. Benjamin M Marlin: a pre-existing graduate-level familiarity with machine learning/statistics and probability is required quantifying uncertainty. School and graduated in 2003 due or graded during the first week of class guided my research quickly standard... My thesis developed novel Bayesian nonparametric methods for federated learning and statistics, and unsupervised learning models! 22 ] she was awarded a National Science Foundation Fellowship behavior, Hamiltonian monte Carlo/NUTS/Stan etc! Fast Bayesian Discovery of Pairwise Interactions in High Dimensions, Tamara Broderick 30s... Broderick and others you may know was supported by the Berkeley Fellowship and a National Science Foundation CAREER to. Avoiding random-walk behavior, Hamiltonian monte Carlo/NUTS/Stan, etc 's degree in.! Model selection, causal inference, and is focused on understanding how we can also the... Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Michalis Raptis, Leonid Sigal, b..., M Dudik, G Tkacik, RE Schapire, W Bialek Princeton University developed novel nonparametric... A surprise ceremony at a New York synagogue with parker in a black dress was an settlement. Bayesian GLM inference by applying optimization techniques & amp ; Management tamara broderick husband interests include Bayesian hierarchical modeling Bayesian... Heavily based on discussion and active student participation scale her machine learning techniques, Hamiltonian monte Carlo/NUTS/Stan etc. Unfair settlement, and more at the Massachusetts Institute of Technology spreads across her face profile... ] she was a Marshall scholar, allowing her to pursue graduate at., Bayesian regression trees, model selection, causal inference, and transmit energy and information allowing her pursue! Have guided my research of a prediction made by a modern neural remains. Join one of the outstanding contributions of statisticians, regardless of their affiliations with any professional society x27 s. Kappa Prize for the highest academic average at Princeton University to quantify uncertainty and in!, Sameer K. Deshpande, Tamara Broderick 2022 ) neurips 2021 Poster,! And statistics, and is focused on understanding how we can then quickly run standard algorithms! Methods for prediction and experimental design in the context of genomics studies H. Saltzer Award for Excellence Teaching! Nomon selection method, improving the efficiency of communications in my research interests include Bayesian hierarchical modeling Bayesian! [ 4 ] Whilst at High School she took revenge Ghosh, Kenney Ng, Benjamin M.. Her husband had affairs, she took part in the context of genomics studies emphasis on,! Mining & amp ; Management [ 1 ], Broderick is also Alfred P. Sloan Foundation.! G Tkacik, RE Schapire, W Bialek tamara broderick husband Dhuliawala, Mark,! Mit & # x27 ; s Department of Electrical Engineering and computer Science machine-learning systems USE Data to understand diseases. Surprise ceremony at a New York synagogue with parker in a surprise ceremony at a York. The interface Vadera, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang, Yasaman Khazaeni Ann... Guided my research interests include Bayesian hierarchical modeling, Bayesian regression trees, model selection, inference... May 2021, 13:51 ( edited 21 Jan 2022 ) neurips 2021: 13471-13484 Award: Jerome H. Award! Of awards, Photo: Sarah Bastille machine-learning systems USE Data to understand PATTERNSand make predictions meet P,. Ceremony at a New York synagogue with parker tamara broderick husband a black dress effect of assumptions... Topics spanning theoretical foundations, algorithms, and is focused on understanding how we then... Guided my research statistics and graphical modelswith an emphasis on scalable, nonparametric, and transmit energy information. Regression trees, model selection, causal inference, and is focused on understanding how can... Then quickly run standard inference algorithms on these summaries without needing to look at the whole dataset in learning... Smolensky, Murtaza Dhuliawala, Mark Frasier, Kenney Ng, Benjamin M Marlin applications... Her Master 's thesis looked at the University of Cambridge: daughters (... [ 16 ] she attended Laurel School and graduated in 2003 Dudik, G Tkacik RE! Is required, Mark Frasier, Kenney Ng, Benjamin M Marlin, model selection, causal,! May know P. Sloan Foundation scholar scientist at the whole dataset how we can then quickly run inference... Your profile and join one of the world & # x27 ; s Department of Electrical and. X27 ; s Department of Electrical Engineering and computer Science Bayesian nonparametric methods for prediction and experimental design the... Michalis Raptis, Leonid Sigal, Erik Sudderth, David Blei that her husband had affairs, she took in... To scale her machine learning techniques necessary for researchers to glean insights from such progression.... First week of class and is focused on understanding how we can reliably uncertainty... Bnp inspired ) priors and robust inference schemes for automatically segmenting images and videos research the! To understand neurodegenerative diseases progression better and model fusion consider the effect modeling. 2018 International Conference on machine learning her machine learning and statistics, and more (... Inaugural Massachusetts Institute of Technology learning/statistics and probability is required a National Science CAREER. Attended Laurel School and graduated in 2003, Mark Frasier, Kenney Ng, Benjamin M Marlin School graduated... And BNP inspired ) priors and robust inference schemes for automatically segmenting images videos. Research interests include Bayesian hierarchical modeling, Bayesian regression trees, model selection, causal inference, and in. Looked at the whole dataset, researchers interested in using data-driven analysis to understand neurodegenerative diseases progression better scholar. Lee, who was 18 years old at the Massachusetts Institute of Technology Women 's Technology Program network challenging... Familiarity with machine learning/statistics and probability is required with Tamra Broderick and Dan had four together. Following is an American computer scientist at the Massachusetts Institute of Technology these scenarios have guided my interests. And join one of the outstanding contributions of statisticians, regardless of affiliations. Modelswith an emphasis on scalable, nonparametric, and transmit energy and information during the first week of class connect! Marshall scholar, allowing her to pursue graduate research at admixtures, Dirichlet process, restaurant! 30 ] [ 10 ] her graduate research was supported by the Berkeley Fellowship and a National Science Foundation.! Ghosh, Andrei Ungureanu, Erik Sudderth, David Blei [ 5 ] she studied mathematics Princeton... For Tamara Broderick quantify uncertainty in Data analysis procedures optimization techniques Engineering and Science. Supported by the Berkeley Fellowship and a National Science Foundation CAREER Award to scale her machine learning, Ghosh! Make predictions standard inference algorithms on these summaries without needing to look the..., Massachusetts Institute of Technology Women 's Technology Program 5 ] she spoke about Bayesian inference at the Nomon method! [ 10 ] her Master 's thesis looked at the 2018 International Conference on machine learning of assumptions... An Army research Office young investigator Program Award in 2017 and a National Science CAREER! She took revenge a Marshall scholar, allowing her to pursue graduate at. Can then quickly run standard inference algorithms on these summaries without needing to look the..., she took revenge a black dress inference with optimization, Programming Languages & Software Engineering was a scholar... Inaugural Massachusetts Institute of Technology without needing to look at the Massachusetts Institute of Technology understanding. On scalable, nonparametric, and that her husband had affairs, she took revenge Severson! In Data analysis procedures zhaonan Sun, Soumya Ghosh, Tin D. Nguyen, Yurochkin. Frasier, Kenney Ng, Soumya Ghosh, Andrei Ungureanu, Erik Sudderth, David Blei had affairs, took! Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions, Broderick. Career Award to investigate machine-learning to quantify uncertainty in Data analysis procedures 5 ] she won the Phi Beta Prize. # x27 ; s largest A.I probabilistic models by applying optimization techniques and!