Stanford University
Showing 27,041-27,050 of 34,448 Results
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Mohammad Shahrokh Esfahani
Assistant Professor of Radiation Oncology (Radiation and Cancer Biology)
Current Research and Scholarly InterestsMy laboratory develops computational and statistical methods to extract clinically actionable information from cancer genomic data, particularly circulating cell-free DNA. We combine cancer genomics, liquid biopsy, and machine learning to improve early cancer detection, characterize minimal residual disease, monitor treatment response, and understand therapeutic resistance across solid tumors and hematologic malignancies.
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Hormoz Shahrzad
Graduate, Medicine, Psychiatry and Behavioral Sciences
BioHormoz has worked on many topics in evolutionary computation, both in theory and practice. His master's thesis focused on BLADE, a method for automatically focusing evolutionary search on the most promising part of the genome, with the search distributed over multiple hosts. He is currently a PhD candidate at UT Austin, continuing his research at the Cognizant AI Lab (https://www.cognizant.com/us/en/ai-lab) and as a visiting student researcher at Stanford University, where he is working on his dissertation.
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Mohammed Abdul Saqhlain Shaik
Temp - Non-Exempt, Ophthalmology Research/Clinical Trials
BioSaqhlain is a Research Assistant at the Byers Eye Institute, where he applies his expertise in data science and statistical analysis to ophthalmic research. He holds a master’s degree in Statistics - Data Science from Cal State University East Bay and a bachelor’s degree in Computer Science from Hyderabad, India.
His work focuses on data analysis, management, and standardization of ophthalmic imaging data to support clinical research. He collaborates with researchers to design and execute data-driven projects, ensuring data quality control and validation. Additionally, he assists with data acquisition, statistical analysis, and streamlining research workflows to enhance efficiency in ophthalmology studies.
Saqhlain is particularly interested in leveraging data science to improve research methodologies and facilitate insights in medical imaging.
