Qualcomm Neurohackathon Teams Develop Solutions To Analyze Neuroscience Data
Top Prize Goes To Students Who Worked To Identify the Brain’s Axonal Connection TrajectoriesBy Shilo Rea / 412-268-6094 / email@example.com
Five Carnegie Mellon University graduate student teams competed in the Qualcomm Neurohackathon to develop solutions to analyze specific neuroscience data. Hosted by CMU’s BrainHub, the event was one of the first hackathons designed to engage computer and data scientists to crack one of the most complex systems: the structure of neural data in the brain.
Alison Barth, interim director of BrainHub and professor of biological sciences, was thrilled with the Neurohackathon because of the energy the students brought to the problems and how hard they worked over the two-day event.
"It’s remarkable to give people a problem and have them drop everything to care about it and work on it," Barth said. "We were able to bring so many different kinds of expertise together, and they all did a super job."
The teams were judged on the elegance and portability of their solutions, rigor of analytical methods, their appropriateness to the scientific question and the potential for impact in machine learning, computer science and/or neuroscience. Judges were Geoff Gordon, associate professor of machine learning, Jordan Rodu, visiting assistant professor of statistics, and Aryn Gittis, assistant professor of biological sciences.
Team "Coin Toss" won first place for their approaches to identify the brain’s axonal connection trajectories. MRI fiber tracking has been widely used to map these trajectories, but identifying or classifying them is difficult due to the high complexity of neuroanatomy. The team used data from Tim Verstynen, assistant professor of psychology, and Aarti Singh, associate professor of machine learning.
The "Coin Toss" team members, all Ph.D. students, were: Mariya Toneva (neural computation and machine learning); Avinava Dubey (machine learning); Ahmed Hefny (machine learning); Jay Yoon Lee (computer science); Dan Schwartz (language technology); and Ying Yang (neural computation and machine learning).
In addition to being crowned the winners of the first Neurohackathon, one team member will receive one semester of graduate tuition, and the others will share a $5,000 travel award.
Second place went to the "Reckless Arrogance" team of doctoral students Ben Cowley (machine learning), Akash Umakantha (neural computation) and Jay Hennig (neural computation). They worked on a data set from Assistant Professor of Biological Sciences Sandra Kuhlman to determine how running is represented in the mouse motor cortex.
"Reckless Arrogance" team members will share $3,000 in travel awards.
"Qualcomm was very pleased to support the first ever CMU NeuroHackathon and be a part of the event. The faculty came up with a challenging collection of data sets for the students, and I was very impressed by the quality of the results produced by the five student teams in such a short period. Equally impressive was the engagement of both faculty and students throughout the two-day event. I look forward to future editions of this event," said Rajesh Kumar, senior director of engineering at Qualcomm.
Additional participating students included Xiaoqi Chai, Ligong Han, Jiaming Cao, Xiongtao Ruan, Waleed Ammar, Santosh Chandrasekaran, Volkan Cirik, Prassanna Kumar Muthukumar, Jayanth Koushik, Y. J. Choe, Maruan Al-Shedivat and David Isenberg.
The Neurohackathon was also sponsored by Google, Baidu, Microsoft and CMU’s Provost’s Office, BrainHub and Department of Machine Learning.