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jason d lee jason d lee home cv pdf teaching research publications talks slides group members jason d lee jason d lee jasond mylastname 88 gmail com research or jasond mylastname berkeley edu teaching or berkeley related google scholar and twitter and talk bio about me i am an associate professor of eecs and statistics at uc berkeley previously i was a research scientist at google deepmind member of the ias and an associate professor at princeton before that i was a postdoc at uc berkeley working with michael i jordan i received my phd at stanford advised by trevor hastie and jonathan taylor i received a bs in mathematics from duke university advised by mauro maggioni i am a native of cupertino ca my research interests are broadly in foundations of ai and deep learning slides video representation learning slides and video foundations of deep reinforcement learning slides video 1 video 2 students visitors and postdocs any email from prospective students postdoc or visitors please include the string filter_student in the subject else i will not receive your email please use the gmail given above not the berkeley mail which i do not filter i am recruiting phd students and postdoctoral scholars starting in 2025 at berkeley please email me a cv apply berkeley phd students interested in machine learning statistics or optimization research please contact me my current focus is on machine learning with a focus on foundations of ai deep learning representation learning and deep reinforcement learning i have lectured on the foudations of deep learning at mit video and slides my tutorial at the simons institute slides and video and my tutorial at machine learning summer school mlss 2021 video and slides i have also given tutorials on representation learning at the johns hopkins winter school and beijing ai institute slides and video i am also happy to host visitors summer visitors please contact me around february to schedule your visit see a list of past visitors at here awards samsung ai researcher of the year award 2023 nsf career award 2022 onr young investigator award 2021 sloan research fellow in computer science 2019 nips 2016 best student paper award for matrix completion has no spurious local minima finalist for best paper prize for young researchers in continuous optimization princeton commendation for outstanding teaching for ece538b selected sharp capacity scaling of spectral optimizers in learning associative memory juno kim eshaan nichani denny wu alberto bietti jason d lee statistical learning theory in lean 4 empirical processes from scratch yuanhe zhang jason d lee fanghui liu icml 2026 understanding optimization in deep learning with central flows jeremy m cohen alex damian ameet talwalkar j zico kolter jason d lee iclr 2025 and blog learning compositional functions with transformers from easy to hard data zixuan wang eshaan nichani alberto bietti alex damian daniel hsu jason d lee denny wu colt 2025 emergence and scaling laws in sgd learning of shallow neural networks yunwei ren eshaan nichani denny wu jason d lee neurips 2025 how transformers learn causal structure with gradient descent eshaan nichani alex damian and jason d lee icml 2024 medusa simple llm inference acceleration framework with multiple decoding heads tianle cai yuhong li zhengyang geng hongwu peng jason d lee deming chen and tri dao code and blog icml 2024 fine tuning language models with just forward passes sadhika malladi tianyu gao eshaan nichani alex damian jason d lee danqi chen and sanjeev arora neurips 2023 looped transformers as programmable computers angeliki giannou shashank rajput jy yong sohn kangwook lee jason d lee and dimitris papailiopoulos icml 2023 neural networks can learn representations with gradient descent alex damian jason d lee and mahdi soltanolkotabi colt 2022 on the theory of policy gradient methods optimality approximation and distribution shift alekh agarwal sham m kakade jason d lee and gaurav mahajan jmlr video 1 and video 2 and slides by sham kakade gradient descent finds global minima of deep neural networks simon s du jason d lee haochuan li liwei wang and xiyu zhai icml 2019 gradient descent converges to minimizers jason d lee max simchowitz michael i jordan and benjamin recht colt 2016 matrix completion has no spurious local minimum rong ge jason d lee and tengyu ma best student paper award at neurips 2016 exact post selection inference with the lasso jason d lee dennis l sun yuekai sun and jonathan taylor annals of statistics 2016 page generated 2026 05 18 13 28 21 pacific daylight time by jemdoc mathjax