School of Medicine
Showing 1-20 of 37 Results
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Jeya Maria Jose Valanarasu
Postdoctoral Scholar, Radiology
BioDr. Jeya Maria Jose Valanarasu is a postdoctoral scholar working with the Stanford Machine Learning Group and the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center). He leads the AI for Healthcare bootcamp with Dr. Andrew Ng, Dr. Curt Langlotz, and Dr. Nigam Shah which provides Stanford students an opportunity to engage in advanced research at the intersection of AI and healthcare.
He obtained his Ph.D. and M.S from Johns Hopkins University where he worked on various problems in Computer Vision, Machine Learning, and Healthcare. His research aims to overcome the challenges that arise when translating machine learning models to practical applications for healthcare and engineering sectors. His works have spanned over topics like designing effective deep architectures, model adaptability to changing environments, role of data and annotations, multi-modal learning and taming large models for computer vision and healthcare tasks. He has published over 25 peer-reviewed journal/conference articles at top venues and filed 3 U.S. patents. He has been awarded Amazon Research Fellowship 2022, Best Student Paper Awards at ICRA 2022, CVIP 2019, MICCAI Young Scientist Impact Award Finalist 2022, and the NIH MICCAI Award 2022. He has also served as a reviewer for multiple journals and conferences. -
Alfredo M. Valencia
Postdoctoral Scholar, Psychiatry
BioFreddy Valencia is currently a Stanford Science Fellow and Ford Foundation Postdoctoral Scholar at Stanford University. Informed by human genetics and by combining biochemical, structural biology, and functional genomics investigative techniques, his work aims to uncover the molecular basis of human disorders and disease. His current research at Stanford University aims to investigate and characterize chromatin regulatory processes in human brain development and neurodevelopmental disorders.
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Praveesh Valissery
Postdoctoral Scholar, Infectious Diseases
BioPraveesh was raised in Chennai, India and studied Biotechnology at the Loyola College while minoring in English Literature. He received his Ph.D. from the Jawaharlal Nehru University (New Delhi, India). He has experience in organic chemical synthesis and molecular biology. With Prof. Suman Kumar Dhar, he studied the cell cycle of the malaria parasite (Plasmodium falciparum) and worked on the optimization of water-soluble Artemisinin nanopreparations in the mouse model of malaria (Plasmodium berghei). His PhD thesis concerned “The design, discovery and improvement of novel and existing antimalarial compounds”. He helped in the synthesis and characterization of a novel class of hybrid antimalarial drug, CQ-CFX.
In the Egan lab, Praveesh is interested in exploring essential protein-protein interactions taking place at the interface between the malaria parasite and the red blood cell at key moments during invasion. His research involves the use of genome editing tools, including lentiviral and adenoviral vectors to modify hematopoietic stem cells and generate genetically modified red blood cells by ex vivo erythropoiesis.
In the long term, he hopes to
1. acquire enough skill to study and develop antimalarial vaccine antigens and improve existing vaccine formulations.
2. employ a reverse genetics approach to understand mechanisms that facilitate parasite invasion using genetically modified red blood cells. -
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. -
Henk van Voorst
Postdoctoral Scholar, Radiology
BioDr. van Voorst is a postdoctoral scholar in Radiology studying the interfaces of artificial intelligence and neuroradiological imaging in stroke. Originally educated as an MD, Dr. van Voorst gained additional degrees in Finance and Data Science. As a PhD student, Dr. van Voorst focused on cost-effectiveness modeling and developed machine learning and deep learning algorithms with applications in acute ischemic stroke imaging. In his current research, Dr. van Voorst develops artificial intelligence algorithms to automatically extract information from arteries and veins in radiological stroke imaging.
