School of Medicine
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Debarun Patra
Postdoctoral Scholar, Cardiovascular Institute
BioDebarun Patra is a postdoctoral researcher at Stanford Medicine, with a background in inflammation research. His research focuses on bridging cellular disease mechanisms with in vivo pathophysiology to identify novel therapeutic targets. His current work integrates advanced multi-omics tools, induced pluripotent stem cell (iPSC) technology, and animal models to investigate inflammatory and metabolic diseases (inflammatory bowel disease and MASH).
Debarun's doctoral research at IIT Ropar under Dr. Durba Pal was focused on exploring role of obese adipose tissue microenvironment in chronic inflammation and insulin resistance, particularly evaluating the interactions between adipocytes and macrophages. His findings revealed the critical roles of microRNA-210, cyclophilin-A, and Fetuin-A in adipose tissue inflammation and insulin resistance. -
Han Sun
Postdoctoral Scholar, Genetics
Biostatistician 2, Pediatrics - EndocrinologyBioHan had been a postdoc with Dr. Steinmetz at the genetics department for five years, working on both cancers and heart diseases, trying to understand the mechanisms linking from variants to disease phenotypes. This led to a few very interesting findings of aberrant splicing regulation, such as splicing-mediated readthrough stabilization (SRS), one more mechanism for oncogene activation in multiple types of cancers, and tissue-specific splicing of a mitochondrial inner membrane protein, suggesting a molecular connection between deficiency in energy-supplying and dilated cardiomyopathy.
After being a senior computational biologist with Dr. Gloyn, who has been dedicated to the research of type 2 diabetes for decades, Han switched to the field of this multifactorial metabolic disease. It did take some courage to make such a switch at his post-postdoc stage, however, Han has a consistent interest in studying PG&E, which is not pacific gas and electric nearby, but the interaction between phenotype, genotype, and environment. With years of hands-on experience in statistical modeling and the analysis of next-generation sequencing and mass spectrometry data, in addition to a good understanding of disease genetics, cancer biology, and systems biology, Han is highly confident that he will enjoy the adventure and contribute to our understanding of diabetes.
