Ekta Khurana is a Professor of Systems and Computational Biomedicine at Weill Cornell Medical College. She is the Leader of the Genetics and Epigenetics Program at Meyer Cancer Center. Dr. Khurana's research expertise is in Computational Biology/Bioinformatics, Genomics, Cancer Genomics and Systems Biology.
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Weiling received her PhD degree in Computer Science from The Pennsylvania State University. Her current research focuses on developing data mining, machine learning and computational methods for the analysis and management of cancer genomic data.
Elvire Roblin is a postdoctoral associate at Weill Cornell Medicine. She received her PhD degree in 2023. Her current work focuses on applying deep learning methods to analyze cancer genomic data.
Gizem Yayli-Vokshi earned her Bachelor of Science in Biochemistry and Master of Science and Ph.D. in Pharmaceutical Biotechnology from Ege University in Turkey. She then joined Dr. Laszlo Tora’s group at the Institute of Genetic and Molecular and Cellular Biology (IGBMC) in France and later moved to the United States to pursue another postdoc.
Sakshar completed his B.S. in Computer Science and Engineering from the Bangladesh University of Engineering and Technology (BUET) in 2018. He earned both his M.S. (2023) and Ph.D. (2026) in Computer Science from the University of California, Riverside, where his research focused on Bioinformatics. His current research centers on developing and applying computational and machine learning methods to analyze genomic, transcriptomic, and imaging data from cancer patients, with the goal of improving therapeutic decision-making and advancing precision oncology.
Tonatiuh (Tona) is an MD-PhD candidate in the Tri-Institutional MD-PhD Program and Tri-Institutional PhD Program in Computational Biology and Medicine. Prior to Tri-I, Tona graduated from Harvey Mudd College with a B.S. in Mathematical and Computational Biology and a Concentration in Linguistics. Tona’s research interests are in cancer epigenomics and he hopes to apply this research in his future work as a physician scientist.
Ariaki (Aria) is a PhD candidate in the Physiology, Biophysics and Systems Biology (PBSB) program at Weill Cornell. Aria graduated in 2020 from New York University with a B.S. in Biotechnology and a minor in Computer Science. Following her undergraduate studies, she worked as an Associate Computational Biologist at Dana Farber Cancer Center (Boston), where she built computational methods for analyzing single-cell ATAC-seq data. In her thesis work, Aria is interested in studying the sequence-context determinants of mutation rate in metastatic breast cancer using deep learning models.
Anisha Tehim is an undergraduate student at Cornell University majoring in Biometry & Statistics with a minor in Computer Science. She is currently performing single-cell analysis to study castration resistant prostate cancer subtyping and investigate tumor microenvironments. Anisha plans to pursue a PhD in computational biology with a focus on precision medicine.
Shirley is a Master's in Computational Biology student at Weill Cornell. She previously was a software engineer working on frontend development at Adobe and graduated with a B.S. in Computer Science from San Jose State University in 2024. Her current thesis direction involves applying feature attribution methods to sequence-to-mutation models.