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.
