Scholar
Kahn Rhrissorrakrai
Google Scholar ID: hXZokt0AAAAJ
Research Staff Member, IBM
Citations & Impact
Citations
1,924
H-index
18
i10-index
23
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications: 'Quantum Doubly Stochastic Transformers' (NeurIPS 2025), 'Developmental mosaicism underlying EGFR-mutant lung cancer presenting with multiple primary tumors' (Nat. Cancer 2024), 'Hybrid quantum-classical graph neural networks for tumor classification in digital pathology' (QCE 2024), etc. Patents: 'Determining Cell, Tissue, Or Lesion Representations In Cell-free Dna' (US 12437840), 'Cell State Transition Features From Single Cell Data' (US 12412100), etc.
Research Experience
- During time at New York University, studied machine learning of phenotypes in mouse early embryonic development, network analysis in Drosophila reproduction and human DNA damage response, and characterized dynamic protein localization patterns in C. elegans embryogenesis. At IBM, developed Watson Genomics, a system to support clinical oncologists in making better treatment decisions through genomic analysis. Also led efforts in exploring the use of quantum computing for healthcare and life science problems.
Education
- M.S. (2006) and Ph.D. (2012) in Computational Biology, New York University
Background
- Research Interests: Computational genomics, network analysis/inference, machine learning. Professional Field: Computational biology. Bio: Received M.S. (2006) and Ph.D. (2012) in Computational Biology from New York University, studying condition-specific usage of functional models in C. elegans development. At IBM, worked on solving complex biological questions using network analysis/inference, machine learning, and challenge-based approaches.
Miscellany
- Personal interests include exploring the application of quantum computing to biological problems such as CAR T-cell design and spatiotemporal omic analysis.
Co-authors