Reznik Lab @ Memorial Sloan Kettering
Laboratory of Computational Cancer Metabolism
Memorial Sloan Kettering Cancer Center
321 E 61st Street
New York, New York 10065
Welcome to the Reznik Lab in the Computational Oncology Service at the Memorial Sloan Kettering Cancer Center.
We are a team of computational biologists using statistical and machine learning methods to analyze large-scale datasets to answer questions about cancer metabolism, immunometabolism, and the interactions between host physiology and tumor biology.
We are interested in creative, integrative models of living systems that mesh heterogeneous types of high-throughput and low-throughput data.
News
| Oct 20, 2026 | We are hiring a postdoctoral fellow in computational immuno-oncology and immune-related adverse events! See the job posting for details. |
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| Oct 20, 2026 | We are recruiting graduate students! The Reznik Lab is accepting students from the PBSB, Tri-I CBM, and GSK programs. If you are interested, please reach out to Ed. |
| Oct 12, 2026 | New paper! Our study led by Venise and Amy titled “A health-system-scale, episode-resolved multimodal atlas of cancer cachexia” is now published in Nature Medicine. Read the coverage from MSK and Cancer Grand Challenges. |
| Sep 17, 2026 | New preprints! Our study led by Sonia, “Anatomical dynamics define cancer cachexia subtypes and identify systemic inflammation as a marker of lethal wasting,” and our study led by Alex, Feiyang, River, and Saksham, “Population-Scale Precision Safety in Oncology Reveals Clinical and Genetic Determinants of Systemic Therapy Toxicity,” are now available on medRxiv. |
| Nov 03, 2025 | New Paper! Our study led by Sonia and Minsoo titled “Functionally dominant hotspot mutations of mitochondrial ribosomal RNA genes in cancer” is now available on Nature Genetics. Don’t forget to start with the Research Briefing and Ed’s tweetorial! |
