News and Events
Profs. Zhenhua Liu and Anshul Gandhi awarded $449k from National Science Foundation NeTS program
Prof. Rob Rizzo receives $.45 million NIH grant to study structure-based design of Zika virus inhibitors
Prof. Song Wu receives $.21 million NIH grant to identify epigenetic targets of C-MYC Oncogene
Profs. Saltz, Tannenbaum, Kurc, Wang, Gao and Almeida receive 2 million NIH grant to study morphology an spatially mapped molecular data
Prof. Eugene Feinberg receives $.3 million NSF grant to develop new method for stochastic process on inventory control
Prof. Jiaqiao Hu receives $.2 million NSF grant to develop stochastic search algorithms for simulation optimization
Prof. Dima Kozakov receives $90K grant from US-Israel Science Foundation on structural modeling of peptide-mediated interactions
Profs. Deutsch, Ojima, Kaczocha and Rizzo receive $1.5 million NIH grant on Anandamide Transport Inhibitors
Prof. Rob Rizzo receives $.3 million NIH grant to design of inhibitors for drug-resistant HIVgp41
Prof. Haipeng Xing receives $.2 million NSF grant to study abrupt structural changes in complex stochastic systems
Prof. Robert Harrison and SBU team won a $3 million NSF grant for interdisciplinary graduate training in data science
Profs. Powers, Levy and Wu receive $.4 milion NIH grant on high-throughput genetic interaction sequencing in mammalian cells
Professor Barbara Chapman (PI) receives a new Los Alamos National Security award of $250K/year to develop OpenSHMEM programming model for advanced computing.
Stony Brook ranked 3rd in the country among applied mathematics undergraduate programs by "USA Today"
Stony Brook ranked in top 10 Applied Mathematics Departments by NRC study
Ms. Na Zhang and Mr. Zeyang Ye, doctoral students working with Dr. Yuefan Deng, professor of Applied Mathematics Department and affiliated faculty of IACS, are invited to present their work at the largest supercomputing annual conference, SC15, the International Conference for High Performance Computing, Network, and Storage, to be held this year at Austin, TX, November 16-21. This prestigious international conference will attract more than 12,000 people in supercomputing research in industry, national labs and academia, from around the world As an Association for Computing Machinery (ACM) member, Ms. Na Zhang, was accepted for both Doctoral Showcase Program and ACM student research competition program (SRC). Doctoral showcase is the program for Ph.D. students who will be graduating in the next 12 months to present a summary of their latest and systematic dissertation research. This year, 14 students were accepted from 24 submissions. ACM SRC program is to showcase research in poster format and the selected poster presenters will be given an opportunity to present their work in short talks. This year, 26 of 65 submissions were accepted. Ms. Na Zhang will present her work on “Efficient multiscale platelets modeling using supercomputers”. This is her third time to presenting her work at this series of supercomputing conference. She was also accepted for early stage doctoral showcase and regular research poster categories at SC13 in Denver and SC14 at New Orleans.
Mr. Zeyang Ye was awarded up to $1700 travel grant from NSF to attend SC15. He will present his work on “Parallel Markov Chain Monte Carlo Methods” on the workshop on “Chinese HPC Research Toward New Platforms and Real Applications.”
A new paper that develops tools for quantitatively interpreting conductance histograms from break junction experiments has been accepted for publication in ACS Nano. Previous work in our group showed that a conductance histogram line shape (when only a molecule is present) yields quantitative information on the level alignment and coupling strength between the molecule and the electrodes. Our present work also includes the effects of direct, electrode-electrode tunneling, which is depicted as the red shadings in the picture below. This background tunneling is always experimentally present and is shown to significantly impact our ability to quantitatively estimate molecular properties from the histograms. For instance, neglecting background tunneling may lead to relative errors of 40%. Ultimately, this work allows us to obtain additional and higher-quality information from experimental data.
The authors are Robert Quan, Christopher S. Pitler, Mark A. Ratner, and Matthew G. Reuter. All tools developed here are implemented in version 1.3 of MolStat, one of our open-source software packages. The URL to the paper is http://dx.doi.org/10.1021/acsnano.5b03183
5) Na Zhang, a Ph.D. student of Prof. Yuefan Deng’s, is invited with full financial support including travel, lodging and registration to attend this year’s prestigious XSEDE Conference ( https://conferences.xsede.org/), an annual event to showcase the discoveries, innovations, challenges and achievements of those who utilizeand support XSEDE resources and services. XSEDE (Extreme Science and Engineering Discovery Environment, https://www.xsede.org/) is a robust collection of integrated compute/storage resources and services. It is a virtual platform that scientists can use to interactively share computing resources, data, and expertise.
She will present her paper "Performance Examinations of Multiple Time-Stepping Algorithms on Stampede Supercomputer” in which she demonstrates a huge (23x) performance speedup by a combined algorithmic and hardware accelerations on Stampede supercomputer for multiscale simulations. The algorithmic acceleration is by a multiscale multiple-time stepping algorithm that was published in the “Journal of Computational Physics” earlier.
Professor Xiaolin Li has received a $143K grant from the Army Research Office for his proposal "A Transitional Computational Platform to Migrate Parachute Simulation from Workstation to HPC".
Professor Zhenhua Liu ( http://www.ams.sunysb.edu/~zhliu/) received a 2-year grant award from NSF CRII ( http://www.nsf.gov/pubs/2014/nsf14562/nsf14562.htm) to conduct research work on “Enabling Demand Response from Cloud Data Centers -- from Sustainable IT to IT for Sustainability”. The work aims at interdisciplinary challenge of economics, algorithm design, and engineering. The CRII program was set by the Directorate for Computer and Information Science and Engineering (CISE) to initiate the course of the PI’s independent research immediately upon obtaining the first academic position.
A multidisciplinary team at Stony Brook University, including Professor Song Wu and Professor Wei Zhu, has recently received a 5-year $3.5 Million NIH grant to study Platelet Systems Biology in Health and Disease.
AMS high achieving undergraduate majors Brandon Sanchez and Joseph Fontanilla were the chosen recipients of the Traveler's Scholarship Award for 2015.
Professor Thomas MacCarthy has received a $1.1 million, 4-year NIH grant to develop bioinformatics tools for the study of antibody genes using new high-throughput technologies. As part of the normal immune response to infection, the antibody (Immunoglobulin) genes mutate at a rate approximately 1 million times higher than normal. This process is fundamental to the generation of antibody diversity but can also go awry and cause cancer malignancies, in particular B-cell leukemias and lymphomas. New technologies such as high-throughput sequencing have a broad range of clinical applications when applied to antibody genes, including determining prognosis and detection of Minimal Residual Disease in B-cell malignancies, characterization of autoimmune diseases and evaluating vaccine responses to infections and vaccines. The grant will enable the development of the bioinformatics tools necessary for processing of antibody sequence data obtained from high-throughput platforms as well as developing methods for comparison of mutations across conditions (e.g. disease vs normal) and even different organisms. ( http://www.ams.sunysb.edu/~maccarth/research.html)
Professor Xiaolin Li received a 3-year grant award from the Army Research Oﬃce to conduct research work on “Robust and High Order Computational Methods for Parachute Air Delivery and MAV Systems”. ( http://www.ams.sunysb.edu/~linli/para/index.html)
SUNY Korea QF Certificate Program Approved
The SUNY Korea Quantitative Finance program is unique among mathematically-oriented QF programs in its very practical focus on 'alpha generation', a Wall Street term for trading strategies for making money. Courses are centered around projects where students use real tick data to analyze and predict the performance of individual stocks and commodities, market indices and derivatives. Our QF students have taken positions in Wall Street firms and in university quantitative finance departments after graduation. For more information about our quantitative finance courses and faculty, see QF Courses and QF People.
The SUNY Korea QF program offers the same certificate program as the Stony Brook QF program. Every QF course taken in SUNY Korea is fully credited as a Stony Brook course. Students successfully completing the Certificate Program in Quantitative Finance at SUNY Korea have the opportunity to continue either master’s or doctoral study in QF at Stony Brook. The standard program of study for the certification specializing in quantitative finance consists of the following required and elective courses
Stony Brook ranked in top 10 Applied Mathematics Departments by NRC study
Applied Math and Statistics receives international recognition for their research doctorate program in a data based assessment of research-doctorate programs by The National Research Council. The survey includes data on over 5000 programs in 62 fields at 212 universities nationwide. Stony Brook’s AMS program scored an R-ranking which placed it in the top 10 of Applied Mathematics Departments. The assessment of U.S. doctoral programs found that in the field of Applied Mathematics, Stony Brook ranked first in the percentage of PhDs with nonacademic employment (government laboratories and industry) at 85%, reflecting the strength of applications in our research program. We were also ranked first in the number of PhDs produced annually (14), reflecting the size and breadth of our doctoral program. The Stony Brook Department of Applied Mathematics and Statistics was also near the top in the percentage of faculty with grants, the percentage of female faculty, and the percentage of graduate students from underrepresented minorities. http://www.nap.edu/rdp. New survey places Applied Mathematics among the very top of best-paid college majors