School of Medicine
Showing 31-40 of 124 Results
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Rory Hills
Postdoctoral Scholar, Pathology
BioI work at the intersection of protein engineering, immunology, and translational medicine. My research focuses on building generalizable molecular tools to better measure and manipulate complex human disease. At Stanford, I am developing modular antibody platforms that enable high-resolution, spatial analysis of cancer and immune systems in intact tissue. I previously trained at Oxford and Cambridge, where I worked on next-generation vaccine platforms with collaborators across academia and industry.
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Rongting Huang
Postdoctoral Scholar, Pathology
BioDr. Huang is a computational biologist with academic interests in cancer genomics and spatial biology, particularly in the field of gynecologic cancers. During her Ph.D. under the mentorship of Dr. Yuanhua Huang, she developed statistical methods to detect allele-specific somatic copy number variations from single-cell and spatial transcriptomic data, aiming to understand genetic diversity in biological systems. Currently, her research focuses on advancing gynecologic cancer studies and women’s health through spatial technology platforms, computational modeling, and innovative data visualizations to uncover meaningful insights.
Outside of research, she enjoys hiking, rock climbing, and calligraphy, which help her stay creative and balanced. -
Iman Jaljuli
Postdoctoral Scholar, Pathology
BioPhD in Statistics,
Tel-Aviv University -
Rathinaraja Jeyaraj
Postdoctoral Scholar, Pathology
BioI work at the intersection of AI, multimodal learning, and large-scale image analytics, with a strong focus on computational pathology and foundation models for healthcare. My current research interests include LLMs, VLMs, multimodal reasoning, whole-slide image analysis, retrieval-augmented generation (RAG), and trustworthy AI for medical decision support.
I develop scalable deep learning systems spanning WSI preprocessing, multiple instance learning, segmentation, survival prediction, and multimodal image-text modeling. My work also involves attention interpretability, contrastive learning, pathology foundation model adaptation, and large-scale AI pipelines. Beyond healthcare AI, I have experience in time-series forecasting, distributed computing, cloud infrastructure, and real-time computer vision systems for industrial and smart-city applications.
I am particularly interested in building reliable, interpretable, and clinically meaningful AI systems that bridge computer vision, multimodal learning, and large-scale reasoning. -
Jeyun Jo
Postdoctoral Scholar, Pathology
BioDr. Jeyun Jo received his Pharm.D. from Pusan National University in 2016 and his Ph.D. in pharmacy at the same institution in 2021. His thesis studies focused on the first total synthesis of anmindenol A and optimization of 2-anilinopyrimidine-based selective inhibitors against triple-negative breast cancer cells. He then worked for one year as a senior research scientist at Chong Kun Dang, a leading pharmaceutical company in Korea, where he developed large-sacale synthetic processes for engineered peptides. In May 2022, he joined the Bogyo lab at Stanford University as a postdoctoral fellow. His current research focuses on developing highly selective inhibitors and activity-based probes targeting specific serine hydrolases in pathogenic bacteria and cancer.
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Aditi Khatpe
Postdoctoral Scholar, Pathology
BioAs a Postdoctoral Fellow, I study breast cancer progression and invasion. My research leverages high-dimensional spatial technologies to map cellular architecture and uncover how tumor–stroma interactions influence disease progression. Ultimately, my goal is to translate these insights into strategies that improve diagnosis and treatment.
