Lab members (alumni)

Hossein Khiabanian was an Associate Professor in the Department of Pathology and Laboratory Medicine at Rutgers Robert Wood Johnson Medical School. He joined Rutgers Cancer Institute in 2015 and directed an independent research program supported by the National Cancer Institute, the V Foundation, American Cancer Society, and other philanthropic foundations. He was a member of the Departments of Systems Biology and Biomedical Informatics at Columbia University, and received his Ph.D. in Physics from Brown University where he studied galaxy clusters and dark matter structures using weak gravitational lensing. He is a photography enthusiast.
Mona Arabzadeh was a Postdoctoral Fellow of the New Jersey Commission on Cancer Research at Rutgers Cancer Institute. She received her Ph.D. in Computer Engineering from Amirkabir University of Technology, Tehran, Iran. At Rutgers, she led the discovery of the first quantitative evidence for the clinical impact of blood cells mutated due to age-associated clonal hematopoiesis on systemic cancer treatment. She also developed novel model for assessing patterns of allelic expression in tumors leading to the identification of a group of previously classified patients with poor overall survival.  

Amartya Singh was a Postdoctoral Fellow of the New Jersey Commission on Cancer Research and a Ph.D. graduate of the Department of Physics and Astronomy at Rutgers University. During his doctoral and postdoctoral research, he worked on developing novel biclustering algorithms to investigate the systems level biology of cancer, and developed methods to connect genomic and epigenetic properties of tumors with their transcriptomic phenotypes at single-cell resolutions.

 

Byron Avihai is an M.D.-Ph.D. candidate at the Rutgers and Princeton University M.D.-Ph.D. Program. He received his undergraduate degree in Mathematics and Physics from the Ecole Polytechnique de Paris, and his graduate degree in Genetics from the Ecole Normale Supérieure de Paris. He is a member of the Herranz Lab and is interested in identifying markers of therapeutic resistance in pediatric leukemia.

 


Christopher Thai received his Ph.D. in the Quantitative Biomedicine at Rutgers University in 2026, where he was a fellow of the Biotechnology Training Program and and a member of the Herranz Lab. He received his bachelor's in Computer Science from UCLA and during his doctoral research developed computational methods for guiding clustering and annotation in single-cell RNA sequencing.

 


Mingyang Ma received her Ph.D. from the Department of Physics and Astronomy at Rutgers University in 2025. She earned her Bachelor of Arts in Physics and Mathematics from Rutgers in 2021 and during her doctoral research worked on developing deep learning models for inferring gene regulatory networks from single-cell sequencing data with applications to glioblastoma.

 


Vaidhy Mahaganapathy received his Ph.D. in Microbiology and Molecular Genetics at Rutgers University in 2023. During his doctoral research, he developed bioinformatics approaches for analyzing DNA sequencing data from large patient cohorts to study genomic alteration associated with mutated blood cells (clonal hematopoiesis of indeterminate potential) present in tumor microenvironment.
 


Nahed Jalloul was a Postdoctoral Fellow of the New Jersey Commission on Cancer Research and a Patterson Trust Awardee at Rutgers Cancer Institute. She led the development and implementation of information theoretic tools in precision oncology platforms across the Precision Medicine Program for interpreting germline and somatic testing results at molecular tumor boards.
 


Saman Zeeshan was a Postdoctoral Fellow at Rutgers Cancer Institute, working jointly with the lab of Dr. Sharon Pine. She studied the splicing landscape in lung cancer with a focus on racial disparities.
 


Jui Wan Loh received her Ph.D. in Microbiology and Molecular Genetics at Rutgers University in 2021. She was an Pre-doctoral Fellow of the New Jersey Commission on Cancer Researchand a Shatkin Scholar and for her doctoral thesis developed computational approaches for analyzing deep tunmor sequencing to investigate cancer clonal evolution during treatment.
 


Mohammad Hadigol was a Postdoctoral Fellow of the New Jersey Commission on Cancer Research. At Rutgers, he focused on developing diagnostic pipelines using calibrated deep-sequencing techniques and their implementation in clinical and precision oncology settings.
 


 Visiting members

Jay Patwardhan is an undergraduate student in Computer Science and Mathematics at Rutgers University and a 2023 DIMACS fellow. His interests were in computational approaches that facilitate medically relevant findings. He pursued to study mathematics.

 


Surabhi Panda was an undergraduate student in Computer Engineering at Rutgers University. She was interested in applying her mathematical and technical skills to serve breakthroughs in medical research. She pursued to study medicine.

 


Tasha Hester was a member of the Rutgers Youth Enjoy Science Program and a 10th grade biology teacher. Her focus was on refining her curriculum and pedagogical approaches using biological and statistical concepts.
 

Connie Zhang was an undergraduate at Macalester College in St. Paul, MN. She was a 2021 DIMACS fellow and a research intern in the lab working on biclustering analysis of large tumor cohorts. She pursued to study biostatistics.
 

Srinivas Rajagopalan graduated from Rutgers University in Biomathematics and was a research assistant in the lab working on joint analysis of tumor and normal gene expression datasets. She pursued to study computational biology.
 

Lodovico Terzi was a Visiting Scholar at the Rutgers Cancer Institute from Dr. Davide Rossi's laboratory at the Institute of Oncology Research in Bellinzona (Switzerland). His research focused on studying cancer cell adaptation and evolution in leukemia and lymphoma.
 

Ameen Jafferier was an M.S. student in Biomedical Informatics at Rutgers University. His masters thesis research in the lab was focused on implementing informatics approaches for interpreting clinical sequencing data.
 

Tim Hedspeth was an undergraduate at Emmanuel College in Boston, MA, and was a 2020 DIMACS fellow. At Rutgers, he working on analyzing single-cell DNA sequencing datasets. He pursued to study biostatistics.
 

Theodora Katsarou graduated from Stony Brook University, and was a 2019 DIMACS fellow. She majored in Applied Mathematics and Biology, and pursued to study medicine.
 

Caitlin Guccione graduated from University of Rhode Island and was a 2018 DIMACS fellow. She receieved her Ph.D. from University of California, San Diego in 2025 studying computer science and computational biology.
 

Simon Bird was a graduate of the Honors College at Rutgers University and was a 2017 DIMACS fellow. He studied mathematics, physics, and computer science.
 

Anthony Fratella-Calabrese is a Summa Cum Laude graduate of the Rutgers School of Environmental and Biological Sciences. He obtained an M.D. from Rutgers University.
 


  Affiliations

We were affiliated with the Department of Physics and Astronomy, the Molecular Biosciences Graduate Programs, the Institute for Quantitative Biomedicine, and the Center for Quantitative Biology at Rutgers University.


© Khiabanian Lab 2015–2025


Rutgers University
Rutgers Robert Wood Johnson Medical School
Department of Pathology and Laboratory Medicine


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