MSK Radiation Oncology Residency
Current


I’m a Radiation Oncology resident and Computational Oncology postdoc at Memorial Sloan Kettering, where I lead the Pathology Data Mining team. My research is supported by an NCI K99/R00 Pathway to Independence Award.
I build AI to advance our understanding and management of cancer. My work integrates DNA sequencing with histopathology—pictures of the tumor under the microscope—to profile each tumor’s biology and determine the best way to treat it. I founded Haversine to accelerate the discovery of cancer therapy.
I value building, presence, and accountability: creating more than I consume, being fully present and helping those around me become stronger, and evaluating my actions by their outcomes rather than my intentions.
Current
Current

Roadmap to develop multimodal AI for oncology.
Consistent tumor subtype identification with parsimonious genomic data.
Scalable preprocessing for digital pathology. Built with Raymond Lim.
Patent application WO2025/179210A1.
Patent application US2025/0259750A1.
Combining histopathology, radiology, and clinicogenomics for ovarian cancer prognosis.
Improved deep learning for MHC class I peptide presentation.
Annual science conference connecting Yale researchers with New Haven high schoolers.























