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Hossein Khiabanian is an Assistant Professor of Pathology in Medical
Informatics. He received his Ph.D. in
Physics from Brown University, where he studied galaxy clusters and
dark matter structures, using weak gravitational lensing. Prior to joining Rutgers,
Hossein was a member of the faculty in the Departments of Systems Biology and Biomedical
Informatics at Columbia University. He is
Mohammad Hadigol is an NJCCR Postdoctoral Fellow at the Rutgers Cancer Institute of New Jersey. He received his Ph.D. in Aerospace Engineering from the University of Colorado Boulder, focusing on uncertainty quantification of high-dimensional stochastic problems with applications to Lithium-ion batteries. At Rutgers, he is developing diagnostic pipelines using calibrated deep-sequencing techniques. He enjoys hiking and backpacking.
Amartya Singh is a Ph.D. Candidate in the Department of Physics and Astronomy at Rutgers University. His research interests in Physics are in low dimensional quantum magnetism. He is now working on clinically relevant computational approaches to understand the systems level biology of cancer. He is co-advised by Prof. Gyan Bhanot.
Jui Wan Loh is a Ph.D. student in the Graduate Program of Microbiology and Molecular Genetics at Rutgers University. Her research interests are in computational modeling approaches to study cancer. She will particularly focus on investigating evolution of leukemia in patients as well as animal models. She enjoys swimming and biking.
Simon Bird is an undergraduate at the Rutgers University School of Arts and Sciences and a 2017 DIMACS fellow. He is studying mathematics, and plans to pursue a graduate degree in applied mathematics. He enjoys rock climbing and knitting in his free time.
Anthony Fratella-Calabrese is a Summa Cum Laude graduate of the Rutgers School of Environmental and Biological Sciences, majoring in Biochemistry. Anthony is planning on pursuing a medical degree after graduation. He is an avid percussionist, and enjoys writing music for his high school drumline.
There are currently openings in the group for a postdoctoral scientist, with a background in quantitative sciences and knowledge of programming and statistical analysis. Please contact us for further information; include in your email your CV and a brief description of your background and interests.