Part of the TPC Seminar Series
Speaker: Miguel Vazquez, Head of the Genome Informatics Unit at the Barcelona Supercomputing Center (BSC)
Date: Wednesday, May 14, 2024
Time: 10:00 a.m. (CST)
Location: Virtual
Abstract:
When considering scientific applications, generative AI seems to have had its most impressive impacts on fields governed by well-defined mathematical equations, like weather forecast, or by sequences of tokens, like understanding protein structure and function. Biomedical research, on the other hand, remains a challenging area of application for a number of reasons: cellular systems, which are the crucial level of abstraction, are complex, not entirely understood, and hard to codify. Mechanistic understanding of the relevant phenomena is deemed crucial in making actionable findings, and in this respect cellular simulations are a gold standard. Our breakout group at TPC aims to investigate the combination of generative AI and molecular simulations to assist researchers in understanding cellular systems with the aim of advancing biomedical research.
Biography:
Miguel Vazquez leads the genome informatics unit at the Barcelona Supercomputing Center (BSC) in Spain. Having taken a course on data mining back in 2001, he has devoted his career to working with data in the field of molecular biology, where he found a wealth of interesting problems to work on, particularly in cancer research. He also soon learned that there was much programming to do in the field, which lead him to develop the Ruby Bioinformatics Toolkit (Rbbt), a framework he built for him own work in bioinformatics and which has taken much time away from machine learning and AI; but he is coming back into the field with renewed enthusiasm, though admittedly humbled by all the advances of recent years.
Additional Zoom Information:
Meeting ID: 161 087 8451
Passcode: 862938
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