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Meet the Team at the Seibert Lab

Our diverse team of doctors, scientists, and researchers are an integral part of the framework at the lab.

Seibert Lab Alumni

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Nikki Phan

Nikki was an undergraduate research intern in the Seibert Lab through the UCSD/SDSU Partnership Scholars Program for the 2021-22 school year. She graduated from SDSU in May 2022 with a Bachelor's Degree in Interdisciplinary Studies emphasized in Biology, Public Health, and Psychology. She currently worsk as a medical assistant at a cardiology office in San Diego and in her free time, she enjoys going to the gym and trying new foods.

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Minh Hyunh-Le

Dr. Minh Huynh-Le, MD, MAS worked in the Seibert Lab during her radiation oncology residency at UC San Diego. She earned a bachelors degree from MIT, an MD at Johns Hopkins, and a masters degree at UC San Diego. She is the first author of several publications highlighted on the Projects + Publications page. Dr. Huynh-Le currently cares for patients in Brooklyn, NY.

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Christine Feng

MD worked in the Seibert Lab during her radiation oncology residency at UC San Diego. She earned a bachelors degree from UC San Diego and an MD from the University of Chicago. She is the first author on publications on automated hippocampal avoidance for brain radiotherapy and prostate MRI for detecting cancer. Dr. Feng currently cares for patients in Broward County, FL.

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Dino Digma

Originally from San Diego and a graduate of UC Berkeley, Dino became interested in neuroscience and imaging there. During medical school at UC San Diego, he joined the Seibert Lab to learn more about imaging research. He ultimately could not resist his love for the brain so he pursued Neurology and is now a Neurology resident at Stanford. After training, he hopes to pursue a career as a clinician-scientist, where he can continue using the foundational research skills that he learned during his time in the Seibert Lab.

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Karen Tye

Dr. Karen Tye is an assistant professor in radiation oncology at UCSD, specializing in breast cancer, gastrointestinal cancer, and gynecologic cancer.

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Kanha Batra

Kanha is primarily interested in applying machine learning (ML) methods to biological applications. During his time at the lab as a master's student at UC San Diego, he was primarily a part of the team studying bone metastasis in prostate cancer patients - using ML to characterize and segment malignant tissue in MRI data. He is currently pursuing a PhD in ML and Systems Neuroscience with Dr. Kay Tye and Dr. Terry Sejnowski at Salk Institute for Biological Studies (UCSD). Outside of work, he likes to cook, watch stand up comedy and go on runs.

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