School of Medicine
Showing 141-150 of 157 Results
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Ayesha Sujan
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAyesha Sujan, PhD, is a postdoctoral fellow in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University School of Medicine. Her research focuses on evaluating the safety and effectiveness of opioid and psychiatric medications in pregnancy using large samples of publicly and privately insured patients in the US. She also has research interests in evaluating the safety of prescribing pain and psychotropic medications in pediatric populations. In addition to her research, Dr. Sujan also works as a clinician in the Pediatric Pain Management Clinic at Stanford conducting psychosocial assessments and providing pain psychology treatment for youth with chronic pain.
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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. -
Liyan Sun
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsPhysics-driven deep learning algorithms for MRI/CT reconstruction and analysis:
(1) MRI acceleration with partial measurements.
(2) Medical image segmentation under limited data resources.
(3) Unsupervised/supervised medical image synthesis for MRI or CT.
(4) Longitudinal medical data analysis with deep learning models.
(5) PET image reconstruction and analysis.
