Quantitative Biology Seminar Series
The Faculty of Computing & Data Sciences (CDS) and the BU Bioinformatics Program are excited to announce the launch of the Quantitative Biology Seminar Series. This pedagogical seminar series aims to foster connections between various communities, including computationalists, quantitative experimentalists, and theorists, each with their own broad range of interests.
What sets the Quantitative Biology Seminar Series apart is its focus on presenting cutting-edge research and facilitating meaningful connections across different fields. The series will feature leading voices in computational biology, experimental quantitative science, and theoretical modeling, offering attendees valuable insights and opportunities for cross-disciplinary dialogue.
The series, spearheaded by Brian Cleary and Pawel Przytycki, CDS assistant professors and a core faculty members in the Bioinformatics Program, and Pankaj Mehta, professor of Computing & Data Sciences, was developed with a pedagogical approach, aiming to educate and inspire participants at all levels. Attendees can expect in-depth discussions, hands-on sessions, and networking opportunities that will enhance their understanding and broaden their research horizons. The series will kick off on September 19 and run throughout the fall 2024 semester.
The Quantitative Biology Seminar Series Speaker Lineup
- Location (all): The Faculty of Computing & Data Sciences, Room 1646, 665 Commonwealth Avenue, Boston
- Time: Thursdays, 12:30 - 2 PM
- A light lunch will be provided.
September 19, 2024
Meet & Greet Reception
12:30 - 2PM in CDS 1646
About: Join us for a Quantitative Biology Seminar Series Meet & Greet Reception on Thursday, September 19. The networking event is designed for faculty, researchers, professionals, and students in the field of quantitative biology to share ideas, foster collaborations, and connect with others who share a passion for integrating quantitative methods into biological sciences.
Organizers: Brian Cleary and Pawel Przytycki, CDS assistant professors and a core faculty members in the Bioinformatics Program, and Pankaj Mehta, professor of Physics and Computing & Data Sciences
Thurs., October 3, 2024
The immune system performs a fundamental task: distinguishing between self and non-self. In an ideal scenario, formalizing this process would enable us to derive 'design principles', make accurate predictions, and create experimental interventions. In this talk,
He then discuss how we employed a specially designed robotic platform to test the core principles of adaptive kinetic proofreading in the context of collective immune responses. In a clinical context, this approach is leading us to innovative applications, such as designing a novel type of CAR-T immunotherapy by transferring specificity from a T cell receptor to a Chimeric one. The team's research demonstrates how integrating theoretical models with robotic quantitative biology can significantly enhance our understanding of cell dynamics and directly impact therapeutic development.
Thurs., October 17, 2024
Alon Oyler-Yaniv, Principle Investigators, Oyler-Yaniv Lab, Harvard Medical School
Thurs., October 24, 2024
Debora Marks, Professor of Systems Biology, Harvard Medical School, Broad Institute of Harvard University and MIT
Thurs., November 14, 2024
Michael Desai, Professor of Organismic and Evolutionary Biology and Physics, Harvard University
Thurs., November 21, 2024
Rafael Irizarry, Professor and Chair of the Department of Data Science at the Dana-Farber Cancer Institute and Professor of Biostatistics at Harvard School of Public Health
Thurs., December 5, 2024
Pulin Li, Eugene Bell Career Development Professor of Tissue Engineering; Core Member, Whitehead Institute, MIT