School of Medicine
Showing 1,221-1,230 of 1,566 Results
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Takeshi Sugio
Postdoctoral Scholar, Oncology
BioI am a physician-scientist and hematologist focused on clinical translation of T-cell biology. I received my MD from Kyushu University, and subsequently completed Residency Training at Toranomon Hospital, the largest transplant center in Japan. I continued my Hematology training at Kyushu University, where I qualified as a Board-certified specialist (2017) and supervisory hematologist (2021) by the Japanese Society of Hematology. For my PhD (2014-19), I studied expression profiles and histologic features of TCLs. I discovered distinct TCL clinical groups identified by infiltrating immune cell patterns in the microenvironment. Based on my dissertation work (Sugio, et al 2018 Blood Advances), I planned and conducted a Phase II trial of PD1 inhibition for relapsed/refractory TCL (UMIN000034499). I joined the Alizadeh lab at Stanford in 2021, where I am developing tools to analyze immune status using liquid biopsies.
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Ayesha Sujan
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAyesha C. Sujan, PhD, is a licensed clinical psychologist with specialized clinical training in pediatric pain psychology and extensive research experience in pharmacoepidemiology, particularly in using large administrative datasets to study central nervous system medication and substance use during pregnancy. She is currently a postdoctoral fellow under the primary mentorship of Dr. Jennifer Rabbitts, Chief of Pediatric Pain, in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University School of Medicine, and is supported by an NIH T32 training grant (T32GM089626) focused on developing leaders in academic anesthesiology and pain medicine research. In addition to contributing to Dr. Rabbitts’ NIH-funded research on mechanisms and treatment of pain in youth undergoing surgery, she leads independent studies on pediatric chronic abdominal pain and disorders of gut–brain interaction, with a growing focus on central nervous system medication treatment for these conditions. Clinically, she conducts psychosocial assessments and provides evidence-based pain psychology treatment one day per week (20% FTE) in the outpatient pediatric pain management clinic at Stanford University School of Medicine, ensuring strong clinical grounding and translational relevance of her research program.
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Chenxi Sun
Postdoctoral Scholar, Neurology and Neurological Sciences
Current Research and Scholarly InterestsArtificial intelligence for time-series data; clinical EEG foundation models; machine learning for neurophysiology
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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.
