Biomedical Data Science
Showing 121-130 of 180 Results
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Soumyadeep Roy
Postdoctoral Scholar, Biomedical Informatics
BioI am a postdoctoral scholar at the Center for Biomedical Informatics Research of Stanford University, advised by Prof. Tina Hernandez-Boussard.
My primary area of research is natural language processing, with expertise in medical and healthcare applications. My research areas of interest are Foundation Models for Medicine, Generative AI, Text Summarization, and Efficient Pretraining.
I hold a PhD in Computer Science and Engineering from the Indian Institute of Technology Kharagpur, where I worked with Prof. Niloy Ganguly and Prof. Shamik Sural. Here, I was part of the Complex Networks Research Group (CNeRG). My PhD thesis is titled “Domain Adaptation for Medical Language Understanding”, where I developed novel domain adaptation techniques to effectively and efficiently adapt open-domain AI models to the medical domain.
In summary, I have six years of experience working with medical NLP data, which includes clinical trial registry data (2018-2021), medical forum questions (2020-2021), DNA sequence data (2021-2024), biomedical scientific literature (2023 - 2025), clinical data (2021-2023) and EHR clinical notes (2025). My medical AI research experience includes 2.5 years at L3S Research Germany collaborating with Hannover Medical School as well as a 7-month research internship at GE HealthCare Technology and Innovation Center (HTIC) in Bangalore, India. I also presented a tutorial on March 10, 2025 titled "Building Trustworthy AI Models for Medicine" at WSDM 2025 held in Germany.
In my free time, I like hiking, and playing chess or table tennis. -
Erica Marie Rutherford
Data Wrangler, Biomedical Data Science
BioMy career spanning nine years as a data curator has given me a lot of experience and perspective into the workings of scientific data and metadata, and its organization. During my time before graduate school, I attained experience on a variety of fieldwork projects in ecology (2008-2013). During these temporary seasonal assignments, the importance of precision and care in data collection was impressed in me. When I went to graduate school at San Francisco State University (2013-2016), I gained experience in all parts of a molecular biology experiment, from fieldwork to labwork to data analysis. After graduation, I worked at a microbiome focused startup company, Second Genome, as their data curator (2016-2021). While there, I was responsible for curation of metadata for both internal studies for R&D and for clients, and for external studies being brought in for our internal Knowledgebase. While there, I developed an appreciate for ontologies, and developed a custom Second Genome Ontology to handle our metadata. I moved on to the Lattice group, located at Stanford University, where I continued to expand my skills in data curation (2021-present). I have gained experience in handling single cell datasets and their associated metadata, and curating them to meet precise standards. I strive to work collaboratively with data contributors in order to ensure FAIR data standards.
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Katrin Sangkuhl
Scientific Data Curator, Biomedical Data Science
Current Role at StanfordSenior Scientific Curator
