Yuanjun Gao

profile

I am a 5th year Ph.D. student from Department of Statistics at Columbia University. I am lucky to work with Prof. John P. Cunningham and Prof. Liam Paninski in the exciting field of machine learning and neuroscience. Before coming to Columbia, I was a student at Tsinghua University in China, where I received my Bachelors degree in Pure and Applied Mathematics

I worked as a research summer intern at Jane Street Capital in 2016, and a quantitative research summer intern Susquehanna International Group (or SIG) in 2015.

I have always been fascinated by the power of human brain, and the idea of understanding this power via math and statistics sounds really cool to me!

I am also interested in music, psychology, history and finance (although I am not an expert in any of these).

My email address is yg2312 AT columbia DOT edu.

Publication

Loaiza G*, Gao Y*, Cunningham JP (2016+) Maximum entropy flow networks. Submitted
   - Download: PDF.

Gao Y*, Archer E*, Paninski L, Cunningham JP (2016) Linear dynamical neural population models through nonlinear embeddings. NIPS 2016. (acceptance rate:22%, *=equal contribution)
   - Download: PDF.

Pnevmatikakis EA, Soudry D, Gao Y, Machado TA, Merel J, Pfau D, Reardon T, Mu Y, Lacefield C, Yang W, Ahrens M, Bruno R, Jessell TM, Peterka DS, Yuste R, Paninski L (2016) Simultaneous denoising, deconvolution, and demixing of calcium imaging data. Neuron, 89(2), 285-299.
   - Download: PDF.

Gao Y, Buesing L, Shenoy KV, Cunningham JP (2015) High-dimensional neural spike train analysis with generalized count linear dynamical systems. NIPS 2015. (selected for spotlight presentation, top 5% of submitted)
   - Download: PDF.

Pnevmatikakis EA, Gao Y, Soudry D, Pfau D, Lacefield C, Poskanzer K, Bruno R, Yuste R, Paninski L (2014) A structured matrix factorization framework for large scale calcium imaging data analysis. arXiv preprint arXiv:1409.2903.
   - Download: PDF.

Gao Y, Goetz J, Mazumder R, Connelly M (2016+) Automated Event Detection with Declassified Diplomatic Documents. Working paper
   - Press: BuzzFeed.

Professional Service

Reviewer of Journal of Computational Neuroscience, AISTATS(2016), NIPS(2015, 2016), ICML(2015)

Other Projects/Activities