Stanford University
Showing 51-100 of 156 Results
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Danish Khan
Postdoctoral Scholar, Biochemistry
BioDanish is an accomplished researcher who has been working as a postdoctoral research associate at Prof. Onn Brandman's Lab at the Department of Biochemistry for approximately 3.5 years. His primary area of research revolves around unraveling the intricate mechanisms of eukaryotic protein quality control and stress response pathways. Danish's scientific journey at Stanford began as a post-doc under the supervision of Prof. Georgios Skiniotis where he worked briefly before joining Prof. Onn Brandman's group, motivated by his strong interest in investigating ribosome-associated quality control (RQC) pathways and the fascinating phenomenon of "CAT tails," which involves the addition of amino acids to a protein without an mRNA template.
Motivated by a desire to comprehend how defects in RQC pathways contribute to the development of neurodegenerative diseases in humans, Danish aspires to develop therapeutic interventions for these conditions. Within the Brandman lab, Danish has achieved many accomplishments: he has a first author preview published in Journal of Cell Biology, a second author paper in the eLife journal and a middle author publication in Nature Communications. Currently, Danish is working on two manuscripts that disclose novel and groundbreaking findings concerning the determinants and consequences of CAT tailing in eukaryotes. At Stanford, Danish was awarded the Dean's Fellowship (Bernard Cohen Post Doctoral Fellowship Fund) and Mikitani Cancer Research Fellowship.
Prior to his time at Stanford, Danish earned his PhD from Texas A&M University at College Station, TX. During his doctoral studies, he delved into the chemical inhibition of a lipid signaling protein, leading to the discovery of a remarkable heme-binding lipid transfer protein. Danish's exceptional work during his graduate school tenure resulted in the publication of three first-author papers in renowned journals such as eLife, Cell Chemical Biology, and the Journal of Lipid Research. Additionally, he made valuable contributions as a middle author to five additional papers. Danish's incredible productivity at Texas A&M was recognized by the 'John Mack Prescott Award For Outstanding Research'.
Danish's academic journey commenced with a Bachelor's degree in Biochemistry from Presidency College, Kolkata (University of Calcutta), India where he ranked second in college and fourth in university. He then obtained his Master's degree in Biotechnology from Banaras Hindu University in India on Government of India's DBT Fellowship having obtained an All India Rank of 94. Outside of his scientific pursuits, Danish harbors an interest in law and the intersection between law and technology, often immersing himself in related literature. -
Makrand Khanwale
Postdoctoral Scholar, Mechanical Engineering
BioI received my PhD from Iowa State University co-majoring in Mechanical engineering and Applied Mathematics. I was co-advised by Dr. Baskar Ganapathysubramanian and Dr. James Rossmanith. For my dissertation I worked on development and analysis of numerical schemes for high fidelity simulations of multiphase flows. Specifically I developed energy stable numerical methods to simulate two-phase flows using Cahn-Hilliard Navier-Stokes equations. I also have experience in development of tools to analyse and understand complex physical processes like multi-phase flows and turbulence. Before joining Iowa State for my graduate work, I had a brief stint as a research associate in Dr. Krishnaswamy Nandakumar‘s group in Louisiana State University (LSU). At LSU I worked on developing theoretical models for energy cascades in multi-phase flows.
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Pik Fang Kho
Postdoctoral Scholar, Cardiovascular Medicine
BioI obtained my PhD in genetic epidemiology at Queensland University of Technology (Australia), where my research was focused on using genetic and genomic approaches to identify risk factors for endometrial cancer. During my graduate studies, I gained experience in large-scale genetic association studies and leveraging the correlation between diseases in genetic studies to identify novel genetic variants associated with endometrial cancer. I also developed expertise in various statistical genetic approaches in multi-omics data, including fine-mapping and colocalization analyses, to prioritize candidate causal variants and genes. I also gained extensive experience in genetic causal inference analysis to infer causality between risk factors and health outcomes.
My research focus since moving to Stanford has been the identification of genetic and non-genetic determinants of cardiometabolic diseases. I am currently involved in projects including large-scale genetic association studies, multi-trait analysis with correlated traits, development and validation of polygenic risk scores, integrative analyses with multi-omics data, as well as Mendelian randomization analyses to advance our understanding of the genetic and environmental factors that contribute to cardiometabolic diseases. -
Abbas Khojasteh
Postdoctoral Scholar, Neurology and Neurological Sciences
BioHis current medical study and research at Stanford is directed towards applying early detection strategies to the treatment of brain tumors and reversing the damaging side effects of treatment-related brain injury. He received his Ph.D from Zurich University and completed postdoctoral neurosurgery training at Duke University where he was studying experimental models of neuro modulation of glycemia and immune system in infectious diseases and inflammatory disorders. He evaluated the Electrical modulation efficacy in ongoing inflammation and hyperglicemia under different conditions, such as somatotopy organizations, disease states and intensities (electrical current/potential); and he recognized different neuro fibers controlling inflammation and glycemia networks. He pushed further his idea to find out whether regulation of glycemia and inflammation by electricity is dependent on central processing and to discover a new mechanism controlling insulin production. For this novel study, he performed Spinal Cord surgery. Also, as a bioengineer, his previous research focused on drug discovery, cell biology and cell cultivation techniques for optimization of growth and bioengineering parameters in bioreactors. He has experience in expression of therapeutic antibodies and production of secondary metabolites in mammalian and plant cell cultivations for therapeutics and diagnostics aims.
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Donghoon Kim
Postdoctoral Scholar, Radiology
BioDr. Donghoon Kim is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging. Before joining Stanford, he earned his Ph.D. in Biomedical Engineering from University of California, Davis, supervised by Dr. Youngkyoo Jung. His Ph.D. thesis was titled "Deep Learning-Driven Technical Developments and Clinical Applications of Arterial Spin Labeling MRI". During his Ph.D. studies, he focused on the development of advanced deep learning techniques for ASL MRI, and its clinical applications. During his master's degree in Biomedical Engineering at Virginia Tech-Wake Forest University, he studied the functional connectivity of the default mode network using resting state BOLD fMRI among youth football players, supervised by Dr. Christopher Whitlow and Dr. Youngkyoo Jung.
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Jiyeong Kim
Postdoctoral Scholar, Dermatology
BioDr. Jiyeong Kim is a post-doctoral scholar at the Stanford Center for Digital Health and the Department of Dermatology School of Medicine. Dr. Kim is a computational epidemiologist, harnessing patient-and caregiver-generated health information and data to design patient-centered health interventions, which could be tailored to each patient group for improving patient engagement and better health outcomes.
In her work, Dr. Kim uses artificial intelligence, machine learning, and natural language processing to understand patients' and caregivers' genuine voices of care needs and needed support. As a multidisciplinary epidemiologist, Dr. Kim's work focuses on translational health data science, embracing the intersection of mental health and digital health and expanding to patient-provider communications and health disparities among cancer survivors and caregivers of individuals with chronic conditions (e.g., Alzheimer's Disease and Related Dementia).
Research Interest
-LLMs and generative AI to Listen to the Patient
-Generative AI-Assisted Enhanced Patient Care
-ML-based Disease Prediction Modeling
-Digital Mental Health Tools
-Patient-Generated Data and Precision Health -
Samsuk Kim, PhD.
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Kim is dual research and clinical T32 fellow working with Drs. Beth Darnall, Sean Mackey, and Heather Poupore-King. Her research is focused on developing and testing innovative digital interventions for chronic pain. Prior to Stanford, she received her doctoral degree in clinical psychology from the University of Detroit Mercy and external research training at the University of Michigan (at the Kratz Lab) with a focus on psychosocial factors (e.g., mindfulness, pain acceptance) for chronic pain. She completed an APA-accredited internship at the VA Boston Healthcare System. Her clinical interest is broadly focused on pain management, health promotion, adjustment-related issues, and emotional regulation. She uses a number of treatment approaches including Cognitive-Behavioral Therapy, Acceptance Commitment Therapy, mindfulness-based treatments, Dialectical Behavioral Therapy, and interpersonal psychotherapy approaches.
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Sung Eun Kim
Postdoctoral Scholar, Orthopedic Surgery
Current Research and Scholarly InterestsDevelop biomechanics models that prescribe personalized movement modification to prevent musculoskeletal injuries and maximize individual capability performance. Then, I combine the models with advanced technologies, such as computer vision, sonification, and artificial intelligence, to make them accessible to the public.
