Stanford University
Showing 2,021-2,030 of 2,712 Results
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Junming Seraphina Shi
Postdoctoral Scholar, Radiation Biology
BioI am a postdoctoral fellow at Stanford University, jointly mentored by Dr. Mohammad Shahrokh Esfahani and Dr. Md Tauhidul Islam. My research focuses on developing robust statistical machine learning methods for noninvasive, cost-effective cancer diagnostics, with applications in early detection, treatment monitoring, and precision oncology.
I received my Ph.D. from UC Berkeley, where my dissertation centered on advancing biostatistical machine learning approaches for complex biomedical challenges. My work addressed causal inference for continuous treatments, bias and measurement patterns in ICU electronic health records, and deep learning–based biclustering and prediction of cancer-drug responses. Across these projects, I developed interpretable and scalable tools for analyzing high-dimensional, multimodal clinical data.
At Stanford, I continue to build novel statistical learning frameworks tailored to real-world clinical needs—particularly through the analysis of liquid biopsy (cell-free DNA) and cancer imaging data. My current work aims to improve cancer detection and monitoring, with a focus on noninvasive, accessible, and clinically meaningful solutions to pressing challenges in oncology. I enjoy interdisciplinary collaborations and working across fields to drive innovation in biomedical research. Deeply committed to cancer research, I aim to bridge rigorous computational methodology with patient-centered impact by designing tools that are scalable, equitable, and translational. -
Palca Shibale
Postdoctoral Scholar, Plastic and Reconstructive Surgery
BioShibale, Palca is a post-doctoral fellow in the Hagey Laboratory under mentorship of Dr. Derrick Wan and Michael Longaker. She earned her BS in Molecular and Cellular Biology at the University of Washington (UW), her MS in Medical Physiology and Biophysics at Case Western University and her MD from UW. She has previously conducted translational research on drug efficacy and clinical research in trauma and vascular surgery. Her current works focus on understanding the mechanisms of tissue regeneration and fibrosis with nano materials and as well, the roles of fibroblast subpopulations in the foreign body response model
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Dongjae Shin
Postdoctoral Scholar, Photon Science, SLAC
BioMy current research focuses on the design of catalytic materials. My approaches to this topic include:
(1) First-principles calculation: using density functional theory (DFT), I have studied atomistic phenomena on catalytic surfaces with the purpose of developing materials with improved catalytic capability under the philosophy of rational design and high-throughput screening.
(2) AI-accelerated first-principles calculation: I have applied AI algorithms, e.g., evolutionary algorithm, Bayesian optimization, to the acceleration of computationally costly processes, enabling exploration of larger catalytic design space.
(3) AI-steered adaptive experimentation: I have applied active learning methods, e.g., uncertainty-based sampling, Bayesian optimization, to construct proxies of whole landscape of catalytic performance, or to perform multi-objective optimization. This is the brain of self-driving laboratory (SDL).
Applications include heterogeneous catalysis for exhaust emission control, hydrogen production, utilization of emission gas to realize carbon neutralization, and discovery of battery materials.
