Jack Lanchantin

Computer Science PhD Student
Machine Learning and Bioinformatics Lab
University of Virginia

Publications

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
Advances in Neural Information Processing Systems (NIPS) 2017 - Long Beach, CA
[PDF] [arXiv]

Opportunities and Obstacles for Deep Learning in Biology and Medicine
Travers Ching, Daniel S Himmelstein, Brett K Beaulieu-Jones, Alexandr A Kalinin, Brian T Do, Gregory P Way, Enrico Ferrero, Paul-Michael Agapow, Wei Xie, Gail L Rosen, Benjamin J Lengerich, Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M Cofer, David J Harris, Dave DeCaprio, Yanjun Qi, Anshul Kundaje, Yifan Peng, Laura K Wiley, Marwin HS Segler, Anthony Gitter, Casey S Greene
bioRxiv preprint 2017
[PDF] [bioRxiv]

Memory Matching Networks for Genomic Sequence Classification
Jack Lanchantin, Ritambhara Singh, Yanjun Qi
International Conference on Learning Representations (ICLR) Workshop Track 2017 - Toulon, France
[PDF] [arXiv] [Poster]

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
Pacific Symposium on Biocomputing (PSB) 2017 - Kohala Coast, HI
[PDF] [arXiv] [Code] [Talk]

Deep Motif: Visualizing Genomic Sequence Classifications
Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi
International Conference on Learning Representations (ICLR) Workshop Track 2016 - San Juan, PR
[PDF] [arXiv] [Code] [Poster]

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction
Zeming Lin, Jack Lanchantin, Yanjun Qi
The 30th AAAI Conference on Artificial Intelligence (AAAI) 2016 - Phoenix, AZ
[PDF] [arXiv] [Code] [Talk]

DeepChrome: Deep-learning for Predicting Gene Expression from Histone Modifications
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
European Conference on Computational Biology (ECCB) 2016 - The Hague, Netherlands
[PDF] [arXiv] [Code] [Website] [Talk]

Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 2016
[PDF] [arXiv] [Code] [Talk]

Teaching

Graduate Machine Learning (Fall 2016)
Algorithms (Spring 2015)
Intro to Java (Spring 2015)

Grants and Awards

NIPS Travel Award, 2017
NIH Biomedical Data Sciences Training Grant, 2016-2017
UVA Computer Science Outstanding Teaching Award, 2017
PSB Travel Award, 2017
Lockheed Martin Honors Scholarship, 2012-2013

Talks

Deep Motif, ICML 2016 Workshop on Computational Biology - New York, NY
Deep Motif Dashboard, NIPS 2017 Workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments - Long Beach, CA
Deep Learning Intro, UVA CS 6316

Other

Email: jjl5sw (at) virginia (dot) edu
Google Scholar
Github