Ben Lengerich

Ben Lengerich

Hello! I'm a Ph.D. student in the CS Department at Carnegie Mellon University, advised by Prof. Eric Xing. I've also spent time at Microsoft Research (2019) and Roam Analytics (2017). My work is generously supported by the CMLH Fellowship.

Research Interests: Motivated by the promise of precision medicine and focused on methodology for uncovering meaningful patterns from complex data. A major focus of my research is personalized machine learning -- can we estimate large collections of simple models which are tailored to only a few samples?

Email address:
Office: 9005 Gates Map


Our new paper on Pure Interaction Effects has been accepted to AISTATS 2020!

January 6, 2020

Blog post on Personalized Regression is online!

December 31, 2019

Our new paper on Pure Interaction Effects is available on Arxiv!

November 12, 2019

Honored to present Personalized Machine Learning at the Broad Institute Next Generation in Biomedicine Symposium.

September 9, 2019

Selected Publications

Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
Benjamin J. Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana
Abstract Pre-print Cite
Learning Sample-Specific Models with Low-Rank Personalized Regression
Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing
Abstract Pre-print Paper Poster Code Cite
NeurIPS 2019
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts
Abstract Paper Pre-print Code
Personalized Regression Enables Sample-Specific Pan-Cancer Analysis
Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing
Abstract Paper Pre-print Slides Video Code Cite
ISMB 2018

A more complete list of my publications can be found here.