About


I am a 2nd-year Ph.D. student at Carnegie Mellon University. Under the guidance of Prof. Eric Xing, I study machine learning and computational biology with the goal of building systems to answer meaningful questions.

During my undergrad, I studied math and computer science as a Braddock Scholar in the Schreyer Honors College at Penn State University. In my spare time, I enjoy backpacking, playing ultimate frisbee, and composing for piano.

Contact me on Twitter, at blengeri[at]cs."$school".edu, or in person.

News


March 2017 Attending ENAR in Washington, DC.
February 2017 Presenting "Improving the Accuracy of GWAS" at the Pittsburgh Center for Drug Abuse Research.
Oct 2016 GenAMap has been accepted to the NSF I-Corps Fall 2016 cohort.
Oct 2016 Presenting GenAMap at ASHG.
Jun 2016 Volunteering at ICML.
Apr 2016 Created a pipeline for TCGA iPython notebooks at the "Hacking Cancer" Hackathon.
Apr 2016 Awarded an NSF GRFP Honorable Mention.
Aug 2015 Starting my Ph.D. at CMU!

Research


I am interested in machine learning methods and motivated by the promise of precision medicine. More specifically, I like deep learning, variable selection, and network inference for cancer genomics.

Working Papers

Pre-prints available on request.
2017
Hybrid Subspace Learning for High-Dimensional Data
Micol Marchetti-Bowick, Benjamin J. Lengerich, Ankur Parikh, Eric P. Xing.
2017
Precision Lasso: Accounting for Correlations and Linear Dependencies in High-Dimensional Genomic Data
Haohan Wang, Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing.
2017
GenAMap on the Web: Visual Machine Learning for Next-Generation Genome Wide Association Studies
Haohan Wang*, Benjamin J. Lengerich*, Min Kyung Lee, Eric P. Xing.

Publications and Presentations

2016
GenAMap on the Web: Intuitive and Scalable Machine Learning for Structured Association Mapping.
Benjamin J. Lengerich*, Haohan Wang*, Min Kyung Lee, Eric P. Xing.
Presented at the 66th Annual Meeting of The American Society of Human Genetics, October 19, 2016, Vancouver, BC.
2014
Experimental and Computational Mutagenesis To Investigate the Positioning of a General Base within an Enzyme Active Site.
Jason P. Schwans, Philip Hanoian, Benjamin J. Lengerich, Fanny Sunden, Ana Gonzalez, Yingssu Tsai, Sharon Hammes-Schiffer, and Daniel Herschlag.
Biochemistry.

Thesis

2015
On the Origin of Sequences: Computational Analysis of Somatic Hypermutation for Probabilistic Immunoglobulin Predecessor Identification
Benjamin J. Lengerich
Adviser: Raj Acharya, Supervisor: Jesse Barlow.

Undergraduate Thesis in completion of Schreyer Honors College requirements for honors in computer science.

Teaching


In Spring 2017, I am a TA for Prof. Jian Ma and Prof. Maria Chikina's course 02-410/710 Computational Genomics. I gave a lecture on statistical methods for discovering genetic associations [pdf].

In Fall 2016, I was a TA for Prof. Chris Langmead's course 02-450/750 Automation of Biological Research: Robotics and Active Learning. I gave a lecture on active learning for Bayesian Networks [pdf].

Software


My github page.

GenAMap is an open source platform for visual machine learning of structured association mappings between genotypes and phenotypes.