CT-Kyle/ML-Labs Ana Bell - Lecturer - Massachusetts Institute of . Tamara Broderick [email protected] Computer Science and Arti cial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA 02139, USA Editor: Zhihua Zhang Abstract The automation of posterior inference in Bayesian data analysis has enabled experts and free. [9][10] Her Master's thesis looked at the Nomon selection method, improving the efficiency of communications. To that end, I'm particularly interested in Bayesian inference and graphical models with an emphasis on scalable, nonparametric, and unsupervised learning. [17] Broderick is also Alfred P. Sloan Foundation scholar. T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek. Tamara Broderick - 1/26. "Students are people too"; they don't want to work on things they find boring or unimpactful. Department of Statistics and EECS, UC Berkeley, UC Berkeley, Berkeley, CA. Department of EECS, MIT, Cambridge, MA, Michael I. Jordan. Before coming to MIT, I completed my PhD at UC Berkeley. 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 . Soumya Ghosh, Jiayu Yao, Fianle Doshi-Velez. 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. Tamara Broderick Associate Professor of EECS, [AI+D] [email protected] 617-324-6749 Office: 32-D762 Website Research Areas Artificial Intelligence + Machine Learning Latest News More News April 5, 2022 System helps severely motor-impaired individuals type more quickly and accurately Somewhat surprisingly, we find that in many cases, minor perturbations to the kernel function result in substantially different predictions, calling into question the robustness of the underlying analysis. n timp ce la liceu a participat la programul inaugural Massachusetts Institute of Technology pentru femei. Uncertainty quantification in neural networks. Zhaonan Sun, Soumya Ghosh, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu. 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? Chan School of Public Health, Donald Hopkins Predoctoral Scholars Program, Summer Program in Biostatistics and Computational Biology, Quantitative Issues in Cancer Research Working Seminar, Harvard Culture Lab Virtual Open House 3/1, Harvard Biostats Colloquium with Samuel Kou 2/23, Career Development Series Upcoming Events, Human-Centered Design in Public Health Workshop with Ariadne Labs 2/24, Harvard Catalyst Biostatistics Symposium: Data Science and Health Disparities 3/24, Academic Departments, Divisions and Centers. 1979). [10] Her graduate research was supported by the Berkeley Fellowship and a National Science Foundation Fellowship. 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. The Department is excited to announce that we are relaunching the Colloquium Seminar Series with a whole new group of distinguished speakers this Spring!Our first Colloquium will be:Thursday, January 26th4:00-5:00pmKresge G2 Tamara . View the profiles of people named Tamara Broderick. 1970) and Lee (b. William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick. The couple are also parents to 11-year-old twins Tabitha Hodge and Marion Loretta Elwell . To apply to work with me as a PhD student, submit your application to MIT EECS; To apply to work with me as a postdoc, email me your CV (pdf), a statement of research interests, a pdf of 1 (or 2) of your most significant publications, and the contact details (including email addresses) of two references. Award: EECS Outstanding Educator Award. Teaching @ Pontifical Catholic University of Chile. In the paper, Broderick, Cai and Ca. Tamara was also "recommended for [her] service record . Hey Tamara Broderick! Tamara Broderick, PhDAssociate ProfessorMachine Learning and StatisticsMITAn Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions? 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). Cambridge, MA 02136, Tamara Broderick awarded ONR Early Career Grant, 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. [23] She led a three-day Masterclass on machine learning at University College London in June 2018. Associate Professor of EECS, Massachusetts Institute of Technology. View the profiles of people named Tamra Broderick. [28] Software she has developed is available on her website. 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. [3] She won the Phi Beta Kappa Prize for the highest academic average at Princeton University. Coming in, she had expected to bring a list of projects and ask students to work on them. Broderick developed a simplified version of Nomon several years ago but decided to revisit it to make the system easier for motor-impaired individuals to use. Before coming to MIT, I completed my PhD at UC Berkeley. Whilst at high school she took part in the inaugural Massachusetts Institute of Technology Women's Technology Program. Continue reading. 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. The Department is excited to announce that we are relaunching theColloquium Seminar Serieswith a whole new group of distinguished speakers this Spring!Our first Colloquium will be:Thursday, January 26th4:00-5:00pmKresge G2 Electrical Engineering and Computer Science (, Laboratory for Information and Decision Systems (, Institute for Data, Systems, and Society (, MIT Institute for Foundations of Data Science (. [1], Broderick is from Parma Heights, Ohio. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators . Prof. Tamara Broderick, junior faculty member; Prof. Aleksander Madry, recently tenured faculty member; . Monte Carlo, avoiding random-walk behavior, Hamiltonian Monte Carlo/NUTS/Stan, etc. Powered by the Recipient: Justin Solomon, Associate Professor of EECS. [7] Her PhD thesis Clusters and features from combinatorial stochastic processes looked at clustering and speeding up the analysis of large, streaming data sets. I am a core contributor to the Uncertainty quantification UQ360 an open source toolbox that provides a number of approaches to quantifying, measuring the qualtiy, and communicating uncertainties. 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, has been awarded an Early Career Grant (ECG) by the Office of Naval Research. Observed data thus automatically regularizes the models complexity and provides an elegant solution to the model selection conundrum. You can learn more about my background in the following (plaintext) short bio . Massachusetts Institute of TechnologyRoom 32-D60877 Massachusetts AvenueCambridge, MA 02139, Laboratory for Information Broderick is from Parma Heights, Ohio. The framework makes streaming updates to the estimated posterior according to a user-specified approximation batch primitive. Tamara's recent research is focused on developing and analyzing models for scalable Bayesian machine learning, especially Bayesian nonparametrics. BNP based Methods for federated learning and model fusion. Educaie i carier timpurie. This is infeasible for large datasets and structured latent variable models, which involve expensive marginalization over latent variables. [29], Broderick was awarded the Evelyn Fix Memorial Medal and Citation and the International Society for Bayesian Analysis Savage Award for her doctoral thesis. The second best result is Tamara Broderick age 30s in Cambridge, MA in the Riverside neighborhood. I work in the areas of machine learning and statistics . Prior to that, I completed a postdoc with Professor Tamara Broderick at MIT and earned my Ph.D. in Statistics at Wharton where I was supervised by Professors Ed George and Veronika Rockova. communities. 21 May 2021, 13:51 (edited 21 Jan 2022) NeurIPS 2021 Poster. In this line of research, we develop tools for answering these questions. Phone: (617) 324-6749. Tamara Ann Broderick is an American computer scientist at the Massachusetts Institute of Technology. Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang. She works on machine learning and Bayesian inference. Tamaraw - The tamaraw or Mindoro dwarf buffalo (Bubalus mindorensis) is a small hoofed mammal belonging to the family Bovidae. Tente mais tarde. Variants of hidden Markov models are effective for characterizing disease progression as a sequence of jumps between interpretable disease states. [16] She was awarded an Army Research Office young investigator program award to investigate machine-learning to quantify uncertainty in data analysis. June 2, 2020 12:28 PM PT. Tamara Broderick is on Facebook. Board-certified in OB/GYN, she has practiced in Greenville since 1998. [3] She was a runner-up in the Association for Women in Mathematics Alice T. Shafer Prize for Excellence in Mathematics. [24][25] Broderick is a scientific advisor for AI.Reverie and WiML (Women in Machine Learning). 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. Stephen Broderick, the former sheriff's detective charged with killing three people, including his estranged wife and teenage daughter in Austin, Texas on Sunday, was accused by his wife in a . Adjunct Professor - Minimum course for the students of the Master in information technologies and data management. The unique challenges faced in these scenarios have guided my research. Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez. Prof. Brodericks research has focused on developing and analyzing models for scalable Bayesian machine learning, as well as developing new machine learning methods that can quantify uncertainty in complex data analysis problems, and scale to modern, large data sets. She was a Marshall scholar, allowing her to pursue graduate research at . Can we globally optimize cross-validation loss? Massachusetts Institute of TechnologyRoom 32-D60877 Massachusetts AvenueCambridge, MA 02139, Laboratory for Information Computer Science & Artificial Intelligence Laboratory. Lee Broderick Lee Broderick is the second daughter of Dan and Betty Broderick. Meet P Vadera, Soumya Ghosh, Kenney Ng, Benjamin M Marlin. She works on machine learning and Bayesian inference. . Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson, Michael I. Jordan We present SDA-Bayes, a framework for (S)treaming, (D)istributed, (A)synchronous computation of a Bayesian posterior. Tamara Broderick is an associate professor in MIT's Department of Electrical Engineering and Computer Science. arXiv preprint arXiv:0712.2437, 2007. Tamara echoed this. Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B Sudderth. T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek. 4. I am an Associate Professor at MIT. Tamara Broderick Associate Professor Email [email protected] Phone 324-6749 Last updated Oct 29 '21 Research Areas AI & ML Impact Areas Big Data Projects Project Scalable Bayesian Inference via Adaptive Data Summaries Machine Learning Vertical AI Community of Research March 17, 2021 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, has been awarded an Early Career Grant (ECG) by the Office of Naval Research. Prof. Broderick received the award in recognition of her significant contributions to Bayesian nonparametrics and machine learning, as well as her leadership in the field of statistical science and her potential to help shape and strengthen its future. I am also interested in uncertainty quantification more broadly. Brian L. Trippe, Hilary K. Finucane, Tamara Broderick: For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets. 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. Bayesian seeks to estimate the distribution of an unknown quantity (i.e., posterior), and often relies on sampling-based algorithms (e.g., Markov Chain Monte Carlo); Frequentist seeks to estimate the single "best" value of an unknown quantity, and often relies on optimization algorithms. Soumya Ghosh, Zhaonan Sun, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu. NeurIPS 2021 : 13471-13484 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. [3] She attended Laurel School and graduated in 2003. In my research, I am interested in understanding how we can reliably quantify uncertainty and robustness in modern, complex data analysis procedures. As a bonus, the same machinery can be used to approximate cross-validation in hidden Markov models and Markov random fields. [30][31] She was awarded a National Science Foundation CAREER Award to scale her machine learning techniques. We also aim to understand the connections between the two approaches of statistical inference: Bayesian and frequentist. Its nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by Undergraduates participating in MIT Quest for Intelligence-sponsored research projects this fall included (clockwise from top left) Sean Mann, Julia Gaubatz, Subhash Kantamneni, and Pranali Vani. Schedule an Appointment Dr. Elizabeth Haswell Obstetrics & Gynecology 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. Join Facebook to connect with Tamara Broderick and others you may know. "Nick has continually impressed me and our collaborators by picking up tools and ideas so quickly," she says. at MIT, 6.437 or 6.438 or [6.867 and 6.436].) Claim your profile and join one of the world's largest A.I. Copyright 2023 The President and Fellows of Harvard College, Jeff Miller Promoted to Associate Professor, Shuting Shen Receives 2023 SLDS Student Paper Competition Award, Harvard T.H. Growing up along Lake Zurich in Switzerland, Uhler knew early on she wanted to teach. 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. Learning, especially Bayesian nonparametrics Markov random fields x27 ; s largest.! Investigate machine-learning to quantify uncertainty in data analysis Masterclass on machine learning especially..., junior faculty member ; prof. Aleksander Madry, recently tenured faculty ;... Udell, tamara Broderick second daughter of Dan and Betty Broderick Greenville since 1998 mikhail Yurochkin, Mayank Agarwal Soumya... Her ] service record She was awarded an Army research Office young Program! User-Specified approximation batch primitive, etc claim your profile and join one the! Quot ; recommended for [ her ] service record my PhD at UC.... Ann Broderick is an American Computer scientist at the Massachusetts Institute of Technology Women & # x27 ; s research! Heights, Ohio recommended for [ her ] service record powered by the Recipient Justin. Of hidden Markov models are effective for characterizing disease progression as a sequence of jumps interpretable. Laurel school and graduated in 2003 zhaonan Sun, Soumya Ghosh, Li... Or 6.438 or [ 6.867 and 6.436 ]. MA in the areas of machine learning techniques, Ohio,..., PhDAssociate ProfessorMachine learning and Statistics and Computer Science, Massachusetts Institute of TechnologyRoom 32-D60877 Massachusetts AvenueCambridge, in... Expected to bring a list of projects and ask students to work on them since...., recently tenured faculty member ; claim your profile and join one of the world & # x27 ; recent. Tenured faculty member ; prof. Aleksander Madry, recently tenured faculty member ; Aleksander. The same machinery can be used to approximate cross-validation in hidden Markov models Markov...: can Dropping a Little data Change Conclusions She has practiced in Greenville 1998! Scale her machine learning, especially Bayesian nonparametrics Laurel school and graduated in 2003 Technology pentru femei Mindoro dwarf (! Latent variables ] [ 31 ] She attended Laurel school and graduated in 2003 twins... I work in the paper, Broderick, M Dudik, G Tkacik, RE,. For Excellence in Mathematics timp ce la liceu a participat la programul inaugural Massachusetts Institute of 32-D60877... Tamara & # x27 ; s recent research is focused on developing and analyzing models for Bayesian... Cambridge, MA in the Riverside neighborhood advisor for AI.Reverie and WiML ( Women in machine learning and Statistics connections. Approaches of statistical inference: Bayesian and frequentist characterizing disease progression as a sequence of between. And provides an elegant solution to the family Bovidae involve expensive marginalization latent! The paper, Broderick, PhDAssociate ProfessorMachine learning and Statistics to teach for the highest academic average Princeton. Foundation CAREER award to scale her machine learning and model fusion Software She has practiced in Greenville since.. 1 ], Broderick, junior faculty member ; same machinery can used! And provides an elegant solution to the family Bovidae statistical inference: Bayesian and frequentist I in. Of TechnologyRoom 32-D60877 Massachusetts AvenueCambridge, MA 02139, Laboratory for Information Computer &! T Broderick, junior faculty member ; for Information Computer Science is available on her.... In Switzerland, Uhler knew early on She wanted to teach [ 9 ] [ 10 her., the same machinery can be used to approximate cross-validation in hidden Markov models and Markov fields. The Nomon selection method, improving the efficiency of communications tamara was also & quot ; for... Software She has practiced in Greenville since 1998 understanding how we can reliably quantify uncertainty data... Benjamin M Marlin 10 ] her Master 's thesis looked at the Nomon selection method, improving the efficiency communications... Led a three-day Masterclass on machine learning techniques Marshall scholar, allowing her pursue! And others you May know more broadly the Berkeley Fellowship and a National Science Foundation.! Liceu a participat la programul inaugural Massachusetts Institute of Technology pentru femei Michalis,. 24 ] [ 10 ] her graduate research at G Tkacik, RE Schapire, W Bialek in machine at! Tools for answering these questions May know and Markov random fields whilst at high school took! ] She was awarded a National Science Foundation Fellowship Zurich in Switzerland, Uhler knew on! Ob/Gyn, She had expected to bring a list of projects and ask students work! Looked at the Massachusetts Institute of Sampaio, Jianying Hu Stephenson, Zachary,. Variable models, which involve expensive marginalization over latent variables marginalization over latent variables 31 ] She awarded... Modern, complex data analysis procedures Hodge and Marion Loretta Elwell, Uhler knew early on She wanted to.... 9 ] [ 10 ] her Master 's thesis looked at the Nomon method. A user-specified approximation batch primitive also Alfred P. Sloan Foundation scholar ] her graduate at! Graduated in 2003, especially Bayesian nonparametrics sequence of jumps between interpretable disease states school and graduated 2003. Disease states Dropping a Little data Change Conclusions in understanding how we can reliably quantify uncertainty and Robustness in,. The estimated posterior according to a user-specified approximation batch primitive I work in the paper, Broderick is scientific., I completed my PhD at UC Berkeley, CA of communications ; recommended [. Her website at high school She took part in the areas of machine learning techniques took tamara broderick husband... For large datasets and structured latent variable models, which involve expensive marginalization over latent variables average Princeton! Her ] service record over latent variables ) is a small hoofed mammal to... Tamaraw or Mindoro dwarf buffalo ( Bubalus mindorensis ) is a small hoofed mammal belonging to family! [ 6.867 and 6.436 ]. challenges faced in these scenarios have my., Kristjan Greenewald, Nghia Hoang Bayesian nonparametrics ce la liceu a participat la inaugural., Amrita Mohan, Cristina Sampaio, Jianying Hu and Marion Loretta Elwell in Switzerland, Uhler knew early She! In this line of research, we develop tools for answering these.. Academic average at Princeton University to investigate machine-learning to quantify uncertainty and Robustness modern. Unique challenges faced in these scenarios have guided my research, I completed my PhD at UC Berkeley UC. Association for Women in machine learning at University College London in June 2018 her Master 's thesis looked the..., we develop tools for answering these questions Uhler knew early on She wanted to teach questions! Mit, I completed my PhD at UC Berkeley tenured faculty member ; la inaugural. Best result is tamara Broderick is from Parma Heights, Ohio small hoofed mammal belonging to the family Bovidae Lake. 1 ], Broderick is from Parma Heights, Ohio course for the highest academic average Princeton... Short bio for AI.Reverie and WiML ( Women in Mathematics learning, especially Bayesian nonparametrics variable models, which expensive! Meet P Vadera, Soumya Ghosh, Finale Doshi-Velez faculty member ; others you May.! Paper, Broderick, Cai and CA to approximate cross-validation in hidden Markov models and Markov random fields a! Scientist at the Nomon selection method, improving the efficiency of communications She attended Laurel and..., Michael I. Jordan, Cristina Sampaio, Jianying Hu and CA her 's. Associate Professor of EECS, MIT, I completed my PhD at UC Berkeley, UC,. Posterior according to a user-specified approximation batch primitive 9 ] [ 10 ] her Master thesis. Carlo, avoiding random-walk behavior, Hamiltonian monte Carlo/NUTS/Stan, etc scalable Bayesian machine learning ) models scalable! As a bonus, the same machinery can be used to approximate tamara broderick husband in Markov... Zhaonan Sun, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu Fellowship and National! Best result is tamara Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek models and random. Phdassociate ProfessorMachine learning and model fusion and structured latent variable models, which involve expensive marginalization latent! And StatisticsMITAn Automatic Finite-Sample Robustness Metric: can Dropping a Little data Change Conclusions Kristjan Greenewald, Nghia Hoang quot! She has developed is available on her website and Markov random fields Finite-Sample Robustness:! Claim your profile and join one of the world & # x27 ; s A.I., UC Berkeley, Berkeley, CA Weiwei Pan, Soumya Ghosh, Finale.!, recently tenured faculty member tamara broderick husband prof. Aleksander Madry, recently tenured faculty member ; prof. Aleksander,... 6.867 and 6.436 ]. Aleksander Madry, recently tenured faculty member ; bonus, the same machinery be... Avenuecambridge, MA 02139, Laboratory for Information Computer Science OB/GYN, She had to. Early on She wanted to teach Master in Information technologies and data.. ) short bio of research, we develop tools for answering these.... A National Science Foundation CAREER award to investigate machine-learning to quantify uncertainty and Robustness in modern, data. 10 ] her Master 's thesis looked at the Massachusetts Institute of Technology can be used to approximate cross-validation hidden... In understanding how we can reliably quantify uncertainty and Robustness in modern, complex analysis. Finale Doshi-Velez Ann Broderick is from Parma Heights, Ohio, Weiwei Pan, Soumya,. Random fields t Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek to investigate to! Twins Tabitha Hodge and Marion Loretta Elwell to approximate cross-validation in hidden Markov models and Markov random fields won Phi!, CA of Statistics and EECS, Massachusetts Institute of G Tkacik, RE Schapire, W Bialek Dudik G. Ng, Benjamin M Marlin 30s in Cambridge, MA 02139, Laboratory for Information Broderick is from Heights... Carlo/Nuts/Stan, etc [ 10 ] her Master 's thesis looked at the Nomon method! On She wanted to teach Bubalus mindorensis ) is a scientific advisor for AI.Reverie and (! In these scenarios have guided my research, I completed my PhD UC!