Pankaj Mehta Associate Professor of Physics Office: SCI 323 Phone: 617-358-6303 Boston University Department of Physics 590 Commonwealth Avenue, Boston, MA 02139 Email: pankajm AT bu.edu |
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Research Interests: I am interested in theoretical problems at the interface of physics and biology (and more and more these days Machine Learning). I want to understand how large-scale, collective behaviors observed in
biological systems emerge from the interaction of many individual molecular elements, and how these interactions allow cells to perform complex computations
in response to environmental cues. I also have a deep interest in unsupervised learning methods in Machine Learning. Code generated by the group can be found here. Machine Learning Review Our new Machine Learning review is finally done! Check it out and the 20 Python Notebooks here. These movies are fun, especially this overview movie. Group Members: Bobby Marsland (Biophysics Theory Group Postdoc), Wenping Cui (Graduate), Alexandre Day (Graduate), Ching-Hao Wang (Graduate), Honorary Group Members: Marin Bukov, Joshua Goldford Alumni: Postdocs: Charles Fisher (Founder/CEO of machine learning start-up unlearn.AI, San Francisco, CA) Other Friends/Regular Collaborators of the group: Ariel Amir, BU CReM, Balazsi Lab, Caleb Bashor, Claudio Chamon, Joshua Goldford, Kirill Korolev ,Anatoli Polkovnikov, Ed Reznik, Sanchez Lab, David Schwab, Segrè Lab, Anirvan Sengupta, Allyson Sgro Current projects: Thermodynamics and statistical inference by cells Collective behavior in Dictyostelium Synthetic Biology Cellular reprogramming and cell fate Quantitative microbial ecology Statistical mechanics, machine learning, and large biological data sets Physics problems inspired by biological systems Nonequilibrium statistical physics Videos of recent talks:
Statistical physics approaches to community ecology, KITP (Aug, 2017):
video Energy, information, and computation in cells at the
ICTS Winter school on quantiative biology (Dec.2015):
Part 1,Part 2, Part 3 Publications: To find out more about my research please look at my publications with links to pdf files. Funding: Our work has supported primarily by the NIH and Simons Foundation. We also have received support from the Scialog:Molecules come
to Life Program (run by the Research Corporation and Moore Foundation).
Popular Press:
Geonome Web, MIT Technology Review,
Quanta Magazine, and Wired.
Teaching: Fall 2016: PY895:Machine Learning for Physicists Spring 2016: PY410: Statistical Physics. Fall 2015: BE700-PY895: Methods and Logic in Quantitative Biology Spring 2013: PY 106: Elementary Physics Fall 2012: PY501: Mathematical methods for Physicists. Spring 2013: PY 106: Elementary Physics Quantitative Biology at BU: We attend and invite speakers to the Systems biology seminar. I talk to various people at BU working in biology, often attend their group meetings and we write papers together: Center for Regenerative Medicine (CReM) at BUMC |