Team


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Ed Reznik, PhD (PI)


Associate Attending, Computational Oncologist


Contact: reznike@mskcc.org

Ed is the PI of the lab. He’s always loved science, which turns out to be useful for a professional scientist. He holds a Bachelors and PhD in Biomedical Engineering but is not actually capable of engineering much. He likes to put his feet up and talk about science as much as possible.

In his free time, Ed is playing with his kids, traveling, and constantly updating his prior that the best food in New York City costs less than fifteen dollars.


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Ziad Bakouny, MD


Medical Oncology Fellow

Ziad is a medical oncology fellow and physician-scientist at Memorial Sloan Kettering Cancer Center, specializing in genitourinary malignancies, including prostate, bladder, kidney, and testicular cancers. He earned his MD and MSc from the Université Saint-Joseph in Beirut, Lebanon, followed by a research fellowship at Dana-Farber Cancer Institute and internal medicine residency at Brigham and Women’s Hospital in Boston, MA. Ziad’s research integrates computational and experimental approaches to address questions at the interface of clinical informatics, cancer genomics, and tumor metabolism. His goal is to translate molecular insights into meaningful improvements in cancer outcomes for patients.

Outside of work, Ziad enjoys traveling, playing soccer, and spending time with his wife and daughter.


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Rachel Saxe, PhD


Postdoctoral Research Scholar

Rachel is a postdoctoral research scholar in the Reznik Laboratory. She earned her PhD in Molecular and Systems Biology at Dartmouth College, where she developed a CRISPR-based dynamic lineage tracing system to study the evolution of chemotherapy resistance in leukemia. In the Reznik Lab, she studies the role of mitochondrial DNA mutations in cancer. She is broadly interested in using multiomic technologies to better understand tumor evolution and predict treatment response.

Outside of the lab, Rachel enjoys drawing, playing pickleball, and wandering aimlessly around Roosevelt Island.


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Sonia Boscenco


PhD Student (PBSB)

Sonia is a PhD student in the Physiology, Biophysics and Systems Biology Program at Weill Cornell. She completed her undergraduate degree at McGill University in Neuroscience and Computer Science. Sonia is interested in utilizing computational approaches to understand the pathophysiology of cancer cachexia.

In her free time, Sonia enjoys dancing, reading, and trying new recipes.


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Alex Guo


PhD Student (CBM)

Alex is a PhD student in the Tri-Institutional Program in Computational Biology & Medicine. She completed her undergraduate studies in Bioengineering: Bioinformatics at UC San Diego, and worked at the Broad Institute as a computational associate focusing on mitochondrial biology. At the Reznik Lab, Alex is currently studying patterns of metabolic adaptation in cancer metastasis.

Outside of work, she can be found painting, writing video game playthroughs, or hunting for the best steamed buns in the basements of semi-abandoned shopping malls on East Broadway.


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Lamiah Khan


Machine Learning Intern (Engage Scholar)

Lamiah is an undergraduate student in the Engage Program at Memorial Sloan Kettering. She is currently pursuing a Bachelor’s degree in Electrical and Computer Engineering at The Cooper Union for the Advancement of Science and Art. Lamiah is interested in applying machine learning to identify and characterize prognostic factors that influence cancer survival outcomes.

Outside of her academic pursuits, she enjoys reading, painting, and playing badminton.


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Saksham Mohan


Computational Biologist

Saksham is a computational biologist in the Reznik Laboratory. He earned his bachelor’s degree in Computer Science and Economics at Cornell University, followed by a Master’s degree from Cornell Tech. Before joining the lab, he worked as a software engineer at Amazon Web Services and PMG Digital Agency. In the Reznik Lab, he works on understanding treatment-related toxicities in cancer patients, using large language models and multimodal clinical data to detect, grade, and characterize adverse events at scale. He is broadly interested in how patient-level clinical and molecular features shape who experiences toxicity, and in building tools that help clinicians anticipate and manage these side effects.


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Neil Ruthen


PhD Student (PBSB)

Neil is a PhD student in the Physiology, Biophysics, and Systems Biology Program at Weill Cornell. After completing his undergraduate degree in Biochemistry and Mathematics at Oberlin College, he conducted research on the molecular mechanisms of chronic lymphocytic leukemia tumorigenesis as a computational biologist at the Dana-Farber Cancer Institute. Currently, Neil is investigating the relationship between mitochondrial heteroplasmy and cancer progression through the lens of multiomic datasets.

Whenever he has time, he loves to sing (may have a soft spot for karaoke), play tennis, and walk around NYC with his wife and dog.


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Ethan Tse


PhD Student (PBSB)

Ethan is a PhD student in the Physiology, Biophysics, and Systems Biology Program at Weill Cornell. He completed his BSc in Microbiology and Immunology at The University of British Columbia in Vancouver, Canada. He then conducted two years of lymphoma research at the BC Cancer Research Institute in Dr. Christian Steidl’s lab before starting his PhD. His current research is on the interactions between systemic physiology and cancer, using obesity and cancer as a guiding example.

Outside of the lab, Ethan enjoys hiking, cooking, working out, and traveling.


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Jamie Wang


PhD Student (PBSB)

Jamie is a PhD student in the Physiology, Biophysics and Systems Biology Program at Weill Cornell, and is co-mentored by Dr. Wesley Tansey and Dr. Ed Reznik in Computational Oncology at MSK. He completed his undergraduate studies at Duke University, where he double-majored in Biomedical Engineering and Computer Science, with a minor in Religion. As an undergraduate, he conducted research on active machine learning methods and machine learning applications for drug discovery. Currently, Jamie is interested in utilizing deep learning methods to identify clinically relevant subtypes of cancer cachexia.

Outside of research, he enjoys playing volleyball, visiting the Met, and watching movies at the Metrograph (not sponsored)


Former Members

Name Role in the lab
Nishat Ahmed MEng Student (Cooper Union)
Ananya Anchlia High School Student
Juan Arroyave Villada Research Fellow
Kyrollis Attala Clinical Fellow
Daniel Barbakoff Medical Student
Ravindra Bisram MEng Student (Cooper Union)
Venise Jan Castillon MSK Bridge Program Scholar
Julia Croog High School Student
Mark Dawidek Clinical Fellow
Renzo DiNatale Research Fellow
Manaswitha Edupalli Undergraduate Student
Lennert Eismann Clinical Fellow
Benjamin Freeman Undergraduate Student
Marc Ganz Medical Student
Roya Ghavamian Undergraduate Student
Ilan Goldfein High School Student
Alexander Gorelick PhD Student (Tri-I CBM)
Sophie Jaro MSc Student (Cooper Union)
Sari Khaleel Clinical Fellow
Yash Khandwala Surgical Oncology Fellow
Junbum Kim MSc Student (Cooper Union)
Minsoo Kim PhD Student (Tri-I CBM); Postdoctoral Fellow
Javier Lanillos PhD Student (CNIO, Spain)
Eric Minwei Liu Postdoctoral Fellow
Andrea Lopez Sanmiguel Medical Student
Lizelle Ocfemia MEng Student (Cooper Union)
Arnold Oparanozie Medical Student
Stephen Reese Clinical Fellow
Amar Sandhu High School Student
Rajan Sandhu High School Student
Andrew Silagy Clinical Fellow
Anirudh Sridharan, PhD Postdoctoral Fellow
Cerise Tang PhD Student (Tri-I CBM)
Katiana Vazquez-Rivera Medical Resident
River Walser High School Intern
Amy Xie PhD Student
Angela Yoo Medical Student
Crystal Zang Undergraduate Student
Mark Zucker Postdoctoral Fellow