CCB: Numerical Algorithms

The algorithms group works on the development of new computational and statistical methods for analyzing large, complex datasets. We are particularly focused on two classes of problems. The first is to learn about patterns in neural behavior from electrophysiological measurements using multi-electrode arrays and cellular imaging. The second is to determine the three-dimensional structure of proteins, protein complexes and cellular organelles from electron microscopy data.

More generally, we work with experimental collaborators in a variety of scientific disciplines to meet challenges that involve a combination of modeling, large-scale simulation, optimization and machine learning.

Leslie Greengard, M.D., Ph.D.

Director, Center for Computational Biology

Leslie Greengard joined the Simons Foundation in 2013 as founding director of the Simons Center for Data Analysis, now called the Center for Computational Biology. Prior to that, Greengard served as director of the Courant Institute of Mathematical Sciences at New York University, where he has been a member of the faculty since 1989. Greengard holds an M.D. and Ph.D. in computer science from Yale University.

A member of the National Academy of Sciences and the National Academy of Engineering, Greengard has contributed to the fields of scientific computing, data analysis and integral equations. One of his most significant scientific achievements, together with Vladimir Rokhlin, was the development of the Fast Multipole Method (FMM), a mathematical technique with an enormous range of applications, from chip simulation to molecular modeling. In 2000, the Institute of Electrical and Electronics Engineers recognized the FMM as one of the top ten algorithms of the 20th century and in 2001, Greengard and Rokhlin received the Steele Prize for Seminal Contribution to Research from the American Mathematical Society for their work.

In addition to his research contributions, Greengard co-founded MadMax Optics, which developed advanced numerical algorithms to solve complex engineering problems in opto-electronics. At MadMax Optics, Greengard served as chief executive officer and chief technology officer from 2001 to 2004.

Jeremy Magland

Jeremy Magland, Ph.D.

Senior Data Scientist, Numerical Algorithms, Center for Computational Biology

Jeremy Magland joined the Simons Foundation in 2015 to develop new computational techniques and algorithms to solve data analysis problems in neuroscience. Before joining the foundation, Magland was a research associate professor of radiology at the University of Pennsylvania. He has more than a decade of experience in magnetic resonance imaging research, including data acquisition, reconstruction and image processing. Magland has also created several reusable software frameworks for exploratory scientific research. He earned a B.S. and M.S. in mathematics from Brigham Young University and a Ph.D. in mathematics from the University of Pennsylvania.

Christian L. Müller

Christian L. Müller, M.S., M.S., Ph.D.

Research Scientist and Project Leader, Systems Biology, Computational Center for Biology

Christian L. Müller joined the Simons Foundation in 2014 to work in the Systems Biology group, developing high-dimensional statistics methods and algorithms with applications to microbial and regulatory networks. Prior to joining the foundation, Müller was a postdoctoral researcher at the Courant Institute and the Center for Genomics and Systems Biology at New York University. Before that, he was a postdoctoral researcher at the Institute of Theoretical Computer Science at ETH Zurich in Switzerland. Müller holds an M.S. in computer science from Uppsala University in Sweden, an M.S. in bioinformatics and computer science, as well as a university certificate in literature and poetry, from the University of Tübingen in Germany, and a Ph.D. in computer science from ETH Zurich.

Marina Spivak

Marina Spivak, Ph.D.

Research Scientist, Numerical Algorithms, Center for Computational Biology

Marina Spivak joined the Scientific Computing Core in 2014 to work on new computational techniques and software for bioinformatics problems. Prior to joining the foundation, Spivak did postdoctoral work at the University of Washington, Seattle, in the genome sciences department. Before that, she worked at NEC Research Laboratories in Princeton, New Jersey, where she developed new machine learning techniques for analysis of shotgun proteomics data. Spivak holds a B.A. in molecular cell biology and computer science from the University of California, Berkeley, and a Ph.D. in computer science from New York University.