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 -- the idea that we can estimate many models which are each tailored to a small number of samples. This is useful in settings like healthcare where the effects vary between samples.

Email address:
Office: 9005 Gates Map


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

September 9, 2019

Finished internship with Rich Caruana at Microsoft Research.

August 30, 2019

Honored to be selected for the CMLH Fellowship for 2019-2020.

May 15, 2019

Selected Publications

Learning Sample-Specific Models with Low-Rank Personalized Regression
Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing
Abstract Pre-print 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.