School of Medicine
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Disha Sharma
Postdoctoral Scholar, Cardiovascular Medicine
BioI am currently a Postdoctoral Fellow with Dr. Thomas Quertermous at Stanford University. I have joined the lab with more than 7 years of research experience in the field of computational biology wherein I have worked with multi-omics data for multiple diseases to get a deeper understanding of the disease identification and progression.
My background in engineering and bioinformatics provide an excellent background for the studies proposed in this application, which proposes to investigate the genetics and genomics of smooth muscle cell biology in the context of vascular disease. I first pursued a Bachelor's in Biotechnology program at one of the premier institutes in India, Banasthali Vidyapeeth and received my degree in 2007. After qualifying with the IIT-JAM exam in 2010, I joined the Master’s in Science (Biotechnology) program at the prestigious Indian Institute of Technology Roorkee in a program of engineering and technology. After my Master's, I joined Dr. Vinod Scaria’s lab at CSIR-IGIB as a Project Fellow. During the tenure as Project fellow from 2012-2014, I had the opportunity to work with different transcriptomics data from model organisms including zebrafish, rat and human cell lines to understand the role of long non-coding RNAs and miRNAs. I also worked on clinical datasets of autoimmune disorders. With one and half years of research experience and a UGC fellowship awarded through the NET-JRF examination, I continued working with Dr. Vinod Scaria to pursue my PhD. My research interest for the degree focused on the identification and characterization of circular RNAs, and this work has now been published in multiple manuscripts listed below. Over the years at CSIR-IGIB, I have had the chance to work on interesting ideas with multiple collaborating groups. One of them was Dr. Sridhar Sivasubbu, with whom I worked to understand the transcript-level interactions between mitochondria and the nucleus, using zebrafish as a model organism.
In view of my interest in the translational aspects of biology, I obtained the opportunity to work as part of the GUaRDIAN Consortium with Dr. Vinod Scaria and Dr. Sridhar Sivasubbu at CSIR-IGIB. This pioneering project is the largest network of researchers and clinicians in India pursuing sequencing patient DNAs to identify rare SNVs and structural variants responsible for muscular dystrophy in these patients. In the interest of advancing genomics in clinical and healthcare settings, I was selected as Intel Fellow 2019 to work for the Intel-IGIB collaboration focussing on “Accelerating Clinical Analysis and Interpretation of Genomic Data through advanced tools/libraries”. Our project was selected among top 3 from 50 premier research institutes and I was awarded the Intel-India Fellowship for a year to pursue this project. I was also part of the core team of IndiGen (Genomes for Public Health in India). With the spread of COVID-19 around the world, our group contributed by sequencing and analysing COVID19 genomes to get a better understanding of the disease and I had the opportunity to be part of the core team to analyse the viral sequencing datasets and viral assembly.
I am extremely pleased to have joined the Quertermous lab at Stanford to the study of the molecular mechanisms of cardiovascular disease. Work that I am pursuing in this laboratory, and proposed in this application, are directly in line with my personal aspiration to start an independent career in the field of scientific research to work on projects with high translational value and of interest to the public health. -
Laurens van de Wiel
Postdoctoral Scholar, Cardiovascular Medicine
BioLaurens van de Wiel is Dutch scientist from Berghem, The Netherlands. Laurens spent his undergrad in Software Development (BSc, Avans Hogeschool ‘s-Hertogenbosch) and Computing Science (MSc, Radboud University Nijmegen). Laurens continued his career at a start-up, where he created large-scale, real-time analytical software. Laurens continued on his academic trajectory at the Radboudumc in Nijmegen, where he started his PhD in bioinformatics.
During his PhD, Laurens integrated genetic data with protein 3D structures and protein domains. He utilized the skills he obtained before setting out on his academic trajectory; building large-scale, robust, reliable software. Exemplified by the MetaDome Web server (https://stuart.radboudumc.nl/metadome/). During his PhD, he developed novel methodologies for the interpretation of genetic variants of unknown clinical significance and, by integrating structural and evolutionary biology with genomics, Laurens identified 36 novel disease-gene associations for developmental disorders. These discoveries enabled diagnosis for over 500 families worldwide.
Laurens’ areas of expertise are (bioinformatic) software development, data integration of genetic variation with other omics, and his research aims are:
1.) Lessons long-learned in computer science aid computational biology
2.) Multi-omic data integration allows the impact measurement of genetic variation
3.) Diagnosing undiagnosed disorders will uncover novel insights into biology.
4.) International and multidisciplinary collaborations are key in diagnosing rare disorders.
At Stanford University, under guidance of Dr. Matthew Wheeler, he is conducting his postdoctoral studies in line with his research aims.