Sep 26, 2018, 10:14 AM
He is a professor in the Dept. of Molecular and Cellular Biology and in the Dept. of Mathematics. His research concerns the analysis of data in molecular biology and in particular in the field of DNA, 3D chromosome structure and genetics of chromosome aberrations. His methods include random knotting, topological data analysis and numerical methods in statistical physics of polymers.
Mar 10, 2018, 9:25 AM
Jan 16, 2018, 11:15 AM
Mark your calendars for our mini-conference, which will take place on Thursday, February 15, all afternoon. There will be inspiring talks by GGAM faculty, a poster session, and a reception with Lunar New Year celebration.
Jan 16, 2018, 11:03 AM
GGAM member Professor Alan Hastings (Dept. of Environmental Science and Policy) will speak about "Dynamics and control of spatial ecological populations" in the MBI online colloquium, Wednesday, February 14th.
Dec 12, 2017, 4:20 PM
Walcott's coauthored paper titled "Myosin Va molecular motors manoeuvre liposome cargo through suspended actin filament intersections in vitro" appeared in the high-impact journal Nature Communications.
Dec 1, 2017, 11:25 AM
Read about new Krener Assistant Professor Paloma Gutierrez Castillo's work in fluid mechanics; the research highlight "Quantum States of Matter" by GGAM member Prof. Bruno Nachtergaele; an update on recent Applied Math Ph.D. alumni, including 2013 alumna Wenjing Liao, who is now a tenure-track assistant professor at Georgia Tech; and more.
Oct 23, 2017, 8:45 AM
Oct 12, 2017, 12:00 PM
Among the speakers: New GGAM member, Dr. Shiqian Ma (Department of Mathematics). He works on theory and algorithms of optimization and its various applications in areas like machine learning, statistics, signal processing, image processing, bioinformatics, etc.
Sep 26, 2017, 4:21 PM
Aug 21, 2017, 3:36 PM
Professor Liu is committed to graduate education in the applied mathematical research areas. In particular, she is interested in the area of data-driven resource management and control, where she uses machine learning and optimization techniques to improve the performance of networks.