News
August 8, 2022 I’m honored to have received this year’s Laplace Award for best student paper for my work on density regression from the American Statistical Association’s Section on Bayesian Statistical Science. Check out the paper here!
April 2, 2022 My work “A Double Machine Learning Approach to Combining Experimental and Observational Data” with the AME lab has been accepted for presentation at this year’s Atlantic Causal Inference Conference. Excited to post the ArXiv soon!
Feburary 8, 2022 My package for Density Regression is now publicly available on my GitHub. The associated paper is below. If you have interesting data, I’d encourage you to see what you can find with the package! There’s a lot more than just conditional means out there.
January 16, 2022 My paper Density Regression with Bayesian Additive Regression Trees has just been accepted for a student paper award by the ASA Section on Bayesian Statistical Science. I’m looking forward to presenting this work at JSM 2022!
January 12, 2022 My software package FLAME has just received an honorable mention for this year’s John M. Chambers Statistical Software Award. Thank you to the ASA Sections on Statistical Computing and Statistical Graphics for recommending my work!
December 22, 2022 My paper Density Regression with Bayesian Additive Regression Trees has just been posted to arXiv! It can be found here.
December 8, 2022 We just presented our demo at NeurIPS 2021! It provides a GUI for matching using algorithms in the AME framework. Check it out here.
August 15, 2021 Our paper studying the effects of ABO incompatibility on pediatric cardiac transplants has just been accepted for publication in the Annals of Thoracic Surgery.
July 15, 2021 I just finished reviewing for NeurIPS! Was lucky to have reviewed some great work and am looking forward to seeing more at the conference!
July 9, 2021 I’m thrilled to have presented my R package FLAME at useR! 2021 in the Statistical Modeling and Data Analysis track.
July 7, 2021 New version of my R package FLAME is now up on CRAN! Check it out here.
May 13, 2021 Excited to start work as an AI Research Intern at Dataminr, where I’ll be building tools to perform real-time sub-event detection from Twitter data.
April 27, 2021 Just finished working on a Python package for Fast GP Regression. Check out the code here and the paper here.