Stanford University
Showing 51-60 of 157 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.
