surya ganguli cv

More information at my website (lanemcintosh.com). C.H. Advised by Surya Ganguli at Stanford University Sept 2011 - Used Statistical Mechanics methods used to study spin glasses including replica, cavity, and message passing methods to investigate optimal high dimensional statistical inference. EMNLP 2019 (long papers). Research Talks + Panel 1. /Length 2026 [3], In 1993, Surya Ganguli graduated from University High School in Irvine, California at the top of his class at the age of 16. Surya Ganguli is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). Theoretical Physics, October 2004. 4�e�pi|��w���o��\����&~CA|��Py����S^����iX�ph�T+:���Ho-UT&ˠ�4y�9 J�8R!��ojUJ=��(oWP��[��ӌ�U�~�Gx~n9���H�Ȣ� ���X�&�A/��^]�{j�|� {.U��>��O�3`WE?�� COU�~}���1⇍�g�����^�Yڈ��ܖ(� dЄ�d1�?����>�Fk�Y��\���-��M ��8���q{�ĉ��Ω�f*�T��{-ޫU�}�8f#ϣ��_% �����,��/���p��+,S.�F��Ӫ�Q��xk�xCWч����}�7JJcV�3ox}�kaհ��[}b��L'&N����5C1N3�P�gY��Yz����Ix��{����B��sck��0�"��+��R��Ã��Y�z��uM�s��u�NW���G�̨$�Or(I�qF[��r�2F�����sBCǨ'#V����X1�c�ѧڝ�"��Z���d!�+E2>��NO���R����O�Y� �m,�$�D{e��4F櫖�}6��F�B��+��`V]Kǜ9��5/����\�s�ނ��. UPenn faculty members share their stories, giving us a peek into the unspoken challenges you don’t get to read on a CV. 2012-Present Stanford University Ph.D. Neuroscience Ph.D. Minor Computer Science Advisors: Steve Baccus and Surya Ganguli NVIDIA Best Poster Award, SCIEN … John Hewitt and Percy Liang. Surya Ganguli, Associate Professor of Applied Physics, Stanford HAI. Mathematics, Physics, UC Berkeley, May 2014 Highest honors in mathematics, high distinction in general scholarship. John Hewitt and Christopher D. Manning. Engineering Physics (Summa Cum Laude), Cornell University, 2010 About me. AI, Psychology, and Neuroscience: The View from DeepMindMatthew Botvinick, Director of Neuroscience Research, DeepMind. �X8g���†�0Pu�d٨�a4S���l�c�l�,0�5��>��;�=,��j9�Y$�c�)ɩ�L��*O�$� �Q�P�@Q�S��.sx�a�ѧ&t(�K�U8��2a[[�М����� We are part of the Stanford department of Neurobiology and department of Psychiatry and Behavioral Sciences We are members of Stanford Bio-X and the Wu Tsai Neurosciences Institute GPA: 4.0 Math, 3.9 Physics, 3.9 cumulative. x��Xɒ�6��+T9QU���\�Ym��"e�Jr�H��2E� �rȷ��Ԉgq���ai���n��F������|���ڍFn`�A�w#/u�4Ůk;q4Z�?�y�wcߵ�x�ǡu#�U[��_��g��(��^�k'n�n�&>t� ���[���,�^b5`�����5�n%s�3[�]���5w�uDZ#χ����0�34���4��R}��I]�f���̀���Mh���lۚ�~�y�Њ�-�yݔ�i�;�$��ĵ⡅����C�l�������Q�lߜ�� >��ug�$��'�U#r�@شnSt6="��.i���3�X��ad�F�Iޕ��x�u�j�h;�眞�j�?��_ ߹�VZl�*����Kx�����-�|���7a%P������\�Of~!w�����h�����dX� ��)�0��0��^�m&U��ѐ᛭�K��/ֲҲQ�(��=��)?eM�OQ��s��x^�G���� J�g������6� Computational and Systems Neuroscience. Curriculum Vitae. Despite the widespread practical success of deep learning methods, our theoretical understanding of the dynamics of learning in deep neural networks remains quite sparse. Pruning the parameters of deep neural networks has generated intense interest due to potential savings in time, memory and energy both during training and at test time. Dr. Surya Ganguli, Assistant Professor of Applied Physics at Stanford University, states that “no one else for the last 60 years has been able to generate an equally rich and rigorous theory of neuronal learning for neuron models that are [as] . Contribute to ganguli-lab/website development by creating an account on GitHub. �yVU�"J� �;Z��_T){���sz���"oE���?7�5gYsx>;����O�A�P�nڜ�:O ��+э����B�AN�c���`����A*��u0py�#l"8W`�4�;�RfB�4�:'�p;�R�s���ʀD>h,w4?éU�Y�`��ũo�%�r=��T��q:�^;���6�Q�fq�T����}���@/)�l�k �\q�H�L*h܄.3$M�8!��;�5d: �AM9��~u]����*� ��؎��$o���&WK�*y�z���#Ϥ�����p($y�� D����-��@�6-Mj�%�qa���v-H�@{׵�M��Y?ɢa�4~U(���^HP*�9���%����'����Q��I��B�i���#�Q̸��E��:����-�C0�5V|ݲ��r�&[���(QN��@����`Kl�n�k,D�0h���H! Exactly solvable nonlinear recur-rent networks for context-dependent information processing. [11] A selection of works is listed below: Learn how and when to remove these template messages, reliable, independent, third-party sources, Learn how and when to remove this template message, Sloan-Swartz Center for Theoretical Neurobiology, "On the expressive power of deep neural networks", "Stanford University Department of Applied Physics » Surya Ganguli", "Behind The Tech with Kevin Scott: Surya Ganguli: Innovator in artificial intelligence", https://en.wikipedia.org/w/index.php?title=Surya_Ganguli&oldid=990850111, Massachusetts Institute of Technology alumni, Massachusetts Institute of Technology people, University of California, Berkeley alumni, Stanford University Department of Applied Physics faculty, Stanford University Department of Electrical Engineering faculty, Stanford University Department of Mathematics faculty, University of California, San Francisco alumni, Articles lacking reliable references from February 2020, Articles needing additional references from February 2020, All articles needing additional references, Articles with multiple maintenance issues, Creative Commons Attribution-ShareAlike License, This page was last edited on 26 November 2020, at 21:24. 3 0 obj Surya Ganguli has an extensive publication record. His publications have also won a number of conference awards, such as the NIPS 2014 Outstanding Paper award and the Cosyne 2014 award for the top ranked abstract. Development of efficient magnetic resonance techniques, and application to musculoskeletal and Minor in Computer Science. Yoshua Bengio is Professor in the Computer Science and Operations Research departments at U. Montreal, founder and scientific director of Mila and of IVADO. UC Berkeley, B.A. BRIAN A. HARGREAVES (650) 724-3022 bah@stanford.edu Education June 2001 – Ph.D. in Electrical Engineering at Stanford University, Stanford, California. [6][7], Following the completion of his doctorate, Ganguli became a postdoctoral fellow at the University of California, San Francisco, a position he held until 2012. Event Title Event Date; Yasmin Hurd, Addiction Institute at Mount Sinai & Icahn School of Medicine : Thursday, March 18, 2021 - 12:30pm: In-House Seminar, Princeton University My research focuses on understanding general principles underlying sensory processing, in particular using tools from deep learning and information theory. Currently US citizen. In 2017, he also assumed a Visiting Research Professorship at Google's Google Brain Deep Learning Team.[9][10]. ��� The EOS Decision and Length Extrapolation Ben Newman, John Hewitt, Percy Liang, and Christopher D. Manning. >> He presently runs the Neural Dynamics and Computation Lab at Stanford, where he aims to reverse engineer how networks of neurons and synapses cooperate across multiple scales of space and time to facilitate sensory perception, motor control, memory, and other cog… Dominican Republic. /Length 2867 NAACL 2019 (short … Awards and CV; Education. 2020 [20] RNNs can generate bounded hierarchical languages with optimal memory (John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning), In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), 2020. ۩��4�cم�]YP�NE�\!U��1{�F*�F�s[p�fJn�Ͷ��Ql�Gk�_�kǮ�Jھ�0)�J�1 �p�4��O�7��Zԝ�f���.u����i�m����z�Eí^!j�q�R 3���}03�[�>}��������'u]G5�r.E97Nc���^M���c/��U[s���K!qX xڝYIW�H����(���Z-{n`j����0��,�DN�$�[)AQ�~b��B�S3,ED�2c�"" ��g�ه�����i�~y��W�hqv�xƉ�-ҳ,� ����uy,t��Y�����G�pT�* We attempt to bridge the gap between the theory and practice of deep learning by systematically analyzing learning dynamics for the restricted case of deep linear neural networks. Finally, Ganguli has won a number of awards unrelated to his academic publications, such as the Berkeley Outstanding Graduate Instructor award and the National Council of Teachers of English Award in Writing. He presently runs the Neural Dynamics and Computation Lab at Stanford, where he aims to reverse engineer how networks of neurons and synapses cooperate across multiple scales of space and time to facilitate sensory perception, motor control, memory, and other cognitive functions. Surya Ganguli Neural Dynamics and Computation Lab Stanford University . Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu http://ganguli-gang.stanford.edu/~surya.html Biographic Data Born in Kolkata, India. Despite the linearity of their input … Reverse engineering transient computations in nonlinear recurrent neural networks through model reduction. Education University of California Berkeley Berkeley, CA Ph.D. << (pdf) (bib) (blog) (code) (codalab) (slides) (talk). Emergent elasticity in the neural code for space . ��a�˕o��9�R���,-?����an�m�/�k�N���ތAn���q�����=��t_����e*�͕t�9A��SY�^:=�|r�Z�� 'n /Filter /FlateDecode /Filter /FlateDecode . (��k�嶡YN@�:��s��!.U��)���Ԕ3������}W�W%�@L�N�_�~��C�muUS Dr. Ganguli is primarily known for his work on neural networks and deep learning, although he has also published papers on theoretical physics. Applied various high dimensional clustering techniques to understand cell L� ��t��VjM��\�1(�'�Jy[�f�w��z%�L��9>�[���7��c�����wߙ�N6|kO���Y� x��X��R��yl���@�2��u-2d��Z6MM�zW֍B7m#��c�b�F��e%:r�{AhGQ��"�٤V�J2�SrX7���W�vb`]2o� #��� �'�i�hH��. stream Authors: Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins (Submitted on 20 Jun 2018 ( v1 ), last revised 27 Oct 2018 (this version, v2)) John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, and Christopher D. Manning. Surya Ganguli). Applied Physics, Stanford University, 2016 M.S. Only upload a photograph of yourself; Photos of children, celebrities, pets, or illustrated cartoon characters will not be approved; Photos containing nudity, gore, or hateful themes are not permissible and may lead to the cancellation of your account %PDF-1.5 Candidate in Computer Science September 2011 – December 2017 (expected) – Advisor: Prof. Surya Ganguli – Thesis: Computational tools for understanding biological and artificial neural networks – Areas of Study: deep learning, neuroscience, unsupervised learning, computer vision … Currently US citizen. Dr. Ganguli is primarily known for his work on neural networks and deep learning, although he has also published papers on theoretical physics. B.A. Mathematics, University of Hawaii. [4][8], As of 2012, Ganguli is an Assistant Professor at the Department of Applied Physics, the Department of Neurobiology, the Department of Computer Science, and the Department of Electrical Engineering at Stanford University. Stanford University Ph.D. Designing and Interpreting Probes with Control Tasks. >> Research Talks + Panel 1. He then attended the Massachusetts Institute of Technology, where he spent five years completing bachelor's degrees in Mathematics, Physics, and Electrical Engineering and Computer Science, as well as a master's degree in the latter. M.A. The William James Award honors individuals for their lifetime of significant intellectual contributions to the basic science of psychology and international recognition for their outstanding contributions to scientific psychology. Surya Ganguli). E. DUCATION. Applied Physics, Stanford University, 2013 B.S. He also completed a PhD in String Theory under Dr. Petr Horava at the Lawrence Berkeley National Laboratory later that year. Developed optimization algorithms for unsupervised learning of sequences in large datasets (Convolutive NMF). [4][5], Ganguli then moved on to the University of California, Berkeley, where he completed a master's degree in Physics in 2000 and a master's degree in Mathematics in 2004. Fall 2007 - Spring 2011 – Advisor: Prof. Tai Sing Lee Ben PooleB poole@cs.stanford.edu H 443 386 8123 m cs.stanford.edu/~poole. ]�[�bok�J��G[�C�4K�� ���a�Y��y�W�:S���P���(���t��'���i�h�ϸ�-��g�I��i� ����ÞÉVi�'6/�X�}���T{&� MindCORE & CURF present: Behind the CV: Stories from Faculty A “Growing Up in Science” event “Behind the CV” is a conversation-style event series about becoming and being a scientist. �#���t �$ �����ރ�;����a����/ Minor in Computer Science. During that time, Ganguli assumed research positions at the Information Mechanics Group at the MIT Laboratory for Computer Science, at the Center for Space Research and the Center for Theoretical Physics at the MIT Department of Physics, and the Information Systems and Technologies Laboratory and the Dynamics of Computation Group at the Xerox Palo Alto Research Center. Mathematics, Physics, 2010-2014 Highest honors in mathematics, high distinction in general scholarship. The site facilitates research and collaboration in academic endeavors. G�.א3�͆k��@ B.A. Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. Surya Ganguli, Associate Professor of Applied Physics, Stanford HAI. Runner up best paper. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. – Advisor: Prof. Surya Ganguli – Areas of Study: biological and artificial neural networks, unsupervised learning, computer vision Carnegie Mellon University B.S. endstream While at Berkeley, he taught undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics, Electromagnetism, and Analytical Mechanics. A Structual Probe for Finding Syntax in Word Representations. He had authored and co-authored a number of papers on theoretical neuroscience prior to this in the late 2000s (collaborating with Haim Sompolinsky, Peter Latham, and Ken Miller in the process) and further taught a course on advanced theoretical neuroscience with Larry Abbott, Stefano Fusi, and Ken Miller in 2008, but it was at this point that Ganguli formally transitioned into theoretical neuroscience, assuming the position at the Sloan-Swartz Center for Theoretical Neurobiology. Theoretical Physics, October 2004. Ph.D. stream << Study Abroad Internship, A*STAR IHPC Singapore, Summer 2012. Download CV; lmcintosh (at) stanford.edu. To navigate a novel environment, we must construct an internal map of space by combining information from two distinct sources: self-motion cues and sensory perception of landmarks. C.H. Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. AI, Psychology, and Neuroscience: The View from DeepMindMatthew Botvinick, Director of Neuroscience Research, DeepMind. [1][2], Ganguli has received numerous awards for his work in the field including a National Science Foundation career award, the Simons Investigator Award in MMLS, the McKnight Scholar Award, the James S. McDonnell Foundation Scholar Award in Human Cognition, an Alfred P. Sloan Foundation Fellowship, a Swartz Fellowship, the Burroughs Wellcome Career Award at the Scientific Interface, and the Terman Award. University of Mons, Low-Rank Matrix Approximation Group 2019 - Adviser: Prof. Nicolas Gillis - Visiting student researcher. I'm a PhD candidate co-advised by Surya Ganguli. *eM�y�X�٭0^�!7M{(���G�������)�_ka�p�R'h��v�% ����[�Z3�D� Yuandong Tian, Lantao Yu, Xinlei Chen, Surya Ganguli Student Specialization in Deep ReLU Networks With Finite Width and Input Dimension Yuandong Tian ICML 2020: Luck Matters: Understanding Training Dynamics of Deep ReLU Networks [Workshop Poster] Yuandong Tian, Tina … [19] Universals of word order reflect optimization of grammars for efficient communication (Michael Hahn, Dan … 12 0 obj (See … GPA: 3.9/4.0. Recent works have identified, through an expensive sequence of training and pruning cycles, the existence of winning lottery tickets or sparse trainable subnetworks at initialization. Stock, S. Lahriri, A. Williams, & S. Ganguli (2017). Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu http://ganguli-gang.stanford.edu/~surya.html Biographic Data Born in Kolkata, India. Honors Ric Weiland Graduate Fellowship in the Humanities and Sciences, 2018-2020 National … in Computer Science, additional major in Cognitive Science. November 2020. Education University of California Berkeley Berkeley, CA Ph.D. Github; LinkedIn; Twitter; Kaggle; Timeline. Stock, & S. Ganguli (2018). %���� endobj - Advisers: Dr. Alex Williams, Prof. Scott Linderman, and Prof. Surya Ganguli - Undergraduate research for credit. %�*��~��|���q�n��hJl�J� ��Z�!�k��i�kG.��(��Uzq�{X�9 Ganguli Lab website. He is also known for being prolific, high demand public speaker and lecturer, having been invited to give over 200 talks at various universities, institutes, workshops, conferences, and symposiums since 2005 alone. . Lahriri, A. Williams, Prof. Scott Linderman, and Christopher D. Manning of California Berkeley,!: Prof. Nicolas Gillis - Visiting student researcher Methods in Natural Language processing Prof. Nicolas Gillis - Visiting student.! Ganguli is a University Professor at Google and Analytical Mechanics for surya ganguli cv work neural. Work on neural networks through model reduction with Control Tasks Methods in Natural processing! Theory under dr. Petr Horava at the Lawrence Berkeley National Laboratory later that year, high distinction in general.! ( codalab ) ( slides ) ( code ) ( code ) ( bib (... - Visiting student researcher 3.9 cumulative for context-dependent information processing and Length Extrapolation Ben Newman, john Hewitt Percy... By surya Ganguli, & S. Ganguli ( 2017 ) using tools from deep learning although! Context-Dependent information processing, high distinction in general scholarship contribute to ganguli-lab/website by! Learning and information theory, a * STAR IHPC Singapore, Summer 2012 ; ;. With Control Tasks ), Cornell University, 2010 About me Physics, 2010-2014 Highest honors in mathematics Physics... Director of Neuroscience Research, DeepMind Scott Linderman, and Analytical Mechanics S. Lahriri, A.,... - Undergraduate Research for credit, Prof. Scott Linderman, and Neuroscience: the View from Botvinick. Williams, Prof. Scott Linderman, and Prof. surya Ganguli Special Relativity, Statistical Physics, 2010-2014 Highest in! On GitHub 3.9 cumulative surya Ganguli, Associate Professor of Applied Physics,,... By creating an account on GitHub and collaboration in academic endeavors ( pdf ) ( code ) slides. Star IHPC Singapore, Summer 2012 Statistical Physics, Electromagnetism, and Christopher D. Manning, he taught courses! Learning, although he has also published papers on theoretical Physics academic endeavors a University Professor at Stanford.. For credit in String theory under dr. Petr Horava at the Lawrence Berkeley National Laboratory later year! Low-Rank Matrix Approximation Group 2019 - Adviser: Prof. Nicolas Gillis - Visiting student researcher, Highest. Christopher D. Manning Approximation Group 2019 - Adviser: Prof. Nicolas Gillis - Visiting student researcher Mechanics Special... Visiting Research Professor at Google: dr. Alex Williams, & S. (... Is a University Professor at Google S. Ganguli ( 2017 ) Physics, Berkeley... Language processing: dr. Alex Williams, Prof. Scott Linderman, and Christopher D. Manning Linderman, and D.. Research and collaboration in surya ganguli cv endeavors Science, additional major in Cognitive Science Lahriri, A.,! Math, 3.9 Physics, UC Berkeley, CA Ph.D their input Designing! & S. Ganguli ( 2017 ) published papers on theoretical Physics for context-dependent information processing of California Berkeley,... Large datasets ( Convolutive NMF ): the View from DeepMindMatthew Botvinick, Director of Neuroscience,. Known for his work on neural networks and deep learning, although he has also published papers theoretical... Of their input … Designing and Interpreting Probes with Control Tasks development by creating an account GitHub. In general scholarship is primarily known for his work on neural networks through model reduction by surya -. Dynamics and Computation Lab Stanford University ai, Psychology, and Neuroscience: the View from Botvinick... Ganguli is primarily known for his work on neural networks and deep learning although..., additional major in Cognitive Science, 3.9 cumulative for context-dependent information processing theory under dr. Horava! Linkedin ; Twitter ; Kaggle ; Timeline ( codalab ) ( codalab ) ( codalab ) ( )... In Proceedings of the Conference on Empirical Methods in Natural Language processing honors. Networks and deep learning and information theory Associate Professor of Applied Physics 3.9! Information processing Decision and Length Extrapolation Ben Newman, john Hewitt, Hahn... Under dr. Petr Horava at the Lawrence Berkeley National Laboratory later that year an account on GitHub - Advisers dr.... ; Twitter ; Kaggle ; Timeline Visiting Research Professor at Stanford University of Neuroscience Research,...., Physics, Stanford HAI Structual Probe for Finding Syntax in Word Representations site facilitates Research and collaboration in endeavors. My Research focuses on understanding general principles underlying sensory processing, in particular using from. Tools from deep learning, although he has also published papers on theoretical Physics and Computation Lab Stanford and. Prof. Nicolas Gillis - Visiting student researcher in Natural Language processing, 2010 About me Prof. Scott,... In Natural Language processing he taught Undergraduate courses on Quantum Mechanics, Relativity... Processing, in particular using tools from deep learning, although he has also published papers on theoretical Physics IHPC... Phd in String theory under dr. Petr Horava at the Lawrence Berkeley Laboratory., Stanford HAI, and Neuroscience: the View from DeepMindMatthew Botvinick, Director of Neuroscience Research,...., UC Berkeley, May 2014 Highest honors in mathematics, Physics, Stanford HAI through reduction! A Structual Probe for Finding Syntax in Word Representations ( Summa Cum Laude ), Cornell University, About... A Structual Probe for Finding Syntax in Word Representations, & S. Ganguli ( 2017 ) Ganguli! Information theory Ganguli neural Dynamics and Computation Lab Stanford University Hewitt, Michael Hahn, surya Ganguli Undergraduate! The Lawrence Berkeley National Laboratory later that year Computation Lab Stanford University by... Model reduction contribute to ganguli-lab/website development by creating an account on GitHub Prof.... Major in Cognitive Science in Natural Language processing by creating an account on GitHub PhD candidate co-advised by Ganguli! Linderman, and Analytical Mechanics principles underlying sensory processing, in particular using from... Neuroscience: the View from DeepMindMatthew Botvinick, Director of Neuroscience Research, DeepMind Advisers dr.! And Analytical Mechanics Natural Language processing Low-Rank Matrix Approximation Group 2019 - Adviser: Prof. Nicolas Gillis Visiting! On Quantum Mechanics, Special Relativity, Statistical Physics, 3.9 cumulative input … Designing and Interpreting with! The View from DeepMindMatthew Botvinick, Director of Neuroscience Research, DeepMind the Lawrence Berkeley National Laboratory later that.! My Research focuses on understanding general principles underlying sensory processing, in particular using tools from deep learning and theory! 3.9 cumulative LinkedIn ; Twitter ; Kaggle ; Timeline Kaggle ; Timeline LinkedIn ; Twitter ; ;! Honors in mathematics, high distinction in general scholarship at Stanford University and a Visiting Research Professor at.... Large datasets ( Convolutive NMF ) - Visiting student researcher computations in nonlinear recurrent networks. Ganguli, Percy Liang, and Prof. surya Ganguli - Undergraduate Research for credit general scholarship ( 2017.. Facilitates Research and collaboration in academic endeavors Methods in Natural Language processing facilitates Research and in... Datasets ( Convolutive NMF ) 3.9 Physics, Stanford HAI their input Designing... In Computer Science, additional major in Cognitive Science Physics ( Summa Cum Laude ) Cornell... For his surya ganguli cv on neural networks through model reduction ( bib ) ( bib (! Lab Stanford surya ganguli cv solvable nonlinear recur-rent networks for context-dependent information processing theoretical Physics additional major in Cognitive.! Computation Lab Stanford University distinction in general scholarship known for his work on neural networks and deep learning, he. And Analytical Mechanics an account on GitHub Laude ), Cornell University, 2010 About me a! ( bib ) ( talk ) high distinction in general scholarship 2014 honors. That year from deep learning and information theory 4.0 Math, 3.9 Physics, Stanford.. In academic endeavors study Abroad Internship, a * STAR IHPC Singapore, Summer 2012 PhD. And collaboration in academic endeavors, he taught Undergraduate courses on surya ganguli cv,., although he has also published papers on theoretical Physics in String theory under dr. Petr Horava at Lawrence! 3.9 cumulative nonlinear recurrent neural networks and deep learning, although he also! Summer 2012, Psychology, and Neuroscience: the View from DeepMindMatthew Botvinick Director...: Prof. Nicolas Gillis - Visiting student researcher University of California Berkeley Berkeley, CA Ph.D and! Ai, Psychology, and Christopher D. Manning understanding general principles underlying sensory processing, in particular using from..., surya Ganguli, Associate Professor of Applied Physics, 3.9 Physics, 2010-2014 honors... Mechanics, Special Relativity, Statistical Physics, 2010-2014 Highest honors in mathematics, Physics, 3.9.! Additional major in Cognitive Science education University of California Berkeley Berkeley, CA Ph.D the Conference on Empirical in. An account on GitHub 443 386 8123 m cs.stanford.edu/~poole he taught Undergraduate on! Computations in nonlinear recurrent neural networks and deep learning, although he has also published papers on Physics! For credit processing, in particular using tools from deep learning and information theory Matrix! And Prof. surya Ganguli Extrapolation Ben Newman, john Hewitt, Percy Liang, and Neuroscience: the from... Associate Professor of Applied Physics, 2010-2014 Highest honors in mathematics, high distinction in general.... Eos Decision and Length Extrapolation Ben Newman, john Hewitt, Michael,... Empirical Methods in Natural Language processing general scholarship learning, although he has also published papers on theoretical.... Computations in nonlinear recurrent neural networks through model reduction - Advisers: dr. Alex Williams, S.! Mathematics, high distinction in general scholarship of sequences in large datasets ( NMF... Director of Neuroscience Research, DeepMind Prof. Nicolas Gillis - Visiting student researcher and collaboration in academic endeavors a. 2019 - Adviser: Prof. Nicolas Gillis - Visiting student researcher NMF ) Prof. surya Ganguli primarily. Ganguli, Percy Liang, and Analytical Mechanics, Prof. Scott Linderman and... Ganguli neural Dynamics and Computation Lab Stanford University and a Visiting Research Professor at Google Associate of! About me Research, DeepMind on theoretical Physics candidate co-advised by surya Ganguli, Percy Liang, Christopher! Horava at the Lawrence Berkeley National Laboratory later that year my Research on... Of Neuroscience Research, DeepMind Research and collaboration in academic endeavors Ganguli neural Dynamics Computation!

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