Skip to Main Content Carnegie Mellon University Libraries

Collaborative Bioinformatics Hackathon: Overview

 Congratulations to our winning teams! And thank you to our judges Barb Shinn-Cunningham, Irene Kaplow, Jose Lugo-Martinez, and Shaoheng Liang!

 

Most Collaborative

Team 3: Generation of imputation panels for combined sequencing

Phil Greer,  Ariel Precision Medicine

Tien Ly, San Jose State University

Yuning Zheng, Computational Biology Department, Carnegie Mellon University

Gobikrishnan Subramaniam, Queen's University Belfast

 

Best Documentation

Team 2: Cis and trans effects of haplotypes on rare variants

Maria Chikina, University of Pittsburgh

Li Chuin Chong, Hannover Medical School / TWINCORE GmbH

Halimat Chisom Atanda, The University of Queensland, Australia

Rajarshi Mondal, Pondicherry University

Louison Luo, Computational Biology Department, Carnegie Mellon University

 

Most Productive

Team 6:  Lenski-esque AI competition trials with validated assertion databases

Rorry Brenner, PerforatedAI

Peng Qiu, Computational Biology Department, Carnegie Mellon University

Nanami Kubota, University of Pittsburgh

Anshika Gupta, University of Pittsburgh

Alicja Głuszko, University of Pittsburgh

Jędrzej Kubica, Université Grenoble Alpes

 

Most Innovative

Team 5:  GPU-accelerated graph generation for multiomics

Siddharth Sabata, Computational Biology Department, Carnegie Mellon University

Shivank Sadasivan, Computational Biology Department, Carnegie Mellon University

Lars Ericson, Catskills Research Company

Arth Banka, Computational Biology Department, Carnegie Mellon University

Rachael Oluwakamiye Abolade, University of Arkansas for Medical Sciences

  

 

CMU Libraries is hosting a collaborative hackathon in partnership with DNAnexus on the topic of machine learning and AI approaches to multimodal problems in computational biology. The hackathon will be held in person at Carnegie Mellon in Pittsburgh on March 3-5 (spring break) with the option of virtual participation for international folks.

 

All code and software generated in this hackathon will be shared publicly on GitHub. The outputs of the hackathon are often published open access as preprints. This is a great opportunity to work on interesting computational biology problems with experts and contribute to a paper or computational pipelines. 

 

Please fill out this brief application form to participate. Applications will be accepted until February 15th, with early acceptance for people who need to make travel arrangements. Most of our participants are graduate students, postdocs, staff scientists, and faculty but anyone is welcome to apply.

 

Please contact Melanie Gainey (mgainey@andrew.cmu.edu) with any questions about the hackathon.