Stanford University
Showing 751-800 of 874 Results
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Chaitanya K. Joshi
Postdoctoral Scholar, Biochemistry
BioI'm a Stanford Data Science Fellow and Postdoc at the Department of Biochemistry, working with Prof. Rhiju Das. I'm building lab-in-the-loop AI for RNA biology, bridging deep learning and high-throughput wet lab experiments at scale.
Previously, I completed my PhD in Computer Science at the University of Cambridge with Prof. Pietro Liò. My doctoral work focused on Geometric Deep Learning for molecular modelling and design. As a highlight, I developed gRNAde, an inverse design framework that we used to design and experimentally validate new functional RNA enzymes in collaboration with Dr. Phil Holliger's group at MRC LMB. My research has been recognized by the Qualcomm Innovation Fellowship and the A*STAR National Science Scholarship. I've also been a research scientist intern at Prescient Design (Genentech) and FAIR Chemistry (Meta AI) during my PhD. -
Mridul Joshi
Ph.D. Student in Education, admitted Autumn 2022
Ph.D. Minor, PsychologyBioMy research primarily focuses on the economics of education and education policy in low-income countries, applying insights from psychology. Recently, I have been dabbling in machine learning and natural language processing and its applications to education research. I have previously worked at the Development Innovation Lab (UChicago), J-PAL and the OECD. Visit my personal website for more information.
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Neha Shirish Joshi, MD MS
Instructor, Pediatrics
BioNeha S Joshi, MD MS is an Instructor in the Division of Pediatric Hospital Medicine at Stanford University. Her clinical responsibilities include caring for hospitalized children at Lucile Packard Children’s Hospital Stanford as a board certified Pediatric Hospitalist, and neonatal resuscitation and the care of level I/II late preterm and term newborns as a Neonatal Hospitalist. Dr. Joshi completed her MD with Distinction at the University of California San Francisco, followed by both residency in Pediatrics and fellowship in Pediatric Hospital Medicine at Stanford University. Dr. Joshi additionally completed a Masters in Clinical Research and Epidemiology at Stanford University. Her research program seeks to identify and implement high value care practices for late preterm and term infants during the birth hospitalization. Dr. Joshi's prior work has included the development of a clinical examination-based approach to identifying late preterm and term infants at risk for early onset sepsis; this work won the Jennifer Daru Memorial Award for manuscript with most potential to impact clinical care. Her current focus is the development of clinical benchmarks and quality markers for the care of late preterm infants during the birth hospitalization. Dr Joshi is presently supported by a NIH K23 Career Development Award, the Stanford Maternal and Child Health Research Institute, and the Society for Pediatric Research.
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Shashank V. Joshi, MD
Professor (Teaching) of Psychiatry and Behavioral Sciences (Child and Adolescent Psychiatry and Child Development) and, by courtesy of Pediatrics and, of Education
On Partial Leave from 08/01/2025 To 06/30/2026Current Research and Scholarly InterestsDr. Joshi's teaching and research focuses on increasing knowledge and effectiveness of school mental health, youth wellbeing, positive psychology, pediatric psychotherapy and medication interventions. Areas of study include: the therapeutic alliance in medical care, structured psychotherapy interventions, cultural issues in pediatrics, wellbeing promotion and suicide prevention in schools settings, and faculty development in graduate medical education.
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Shaunak Joshi
Ph.D. Student in Energy Science and Engineering, admitted Autumn 2022
BioI am Shaunak, from India. I am starting my PhD in Energy Science and Engineering with Prof. Daniel Tartakovsky and Prof. Hamdi Tchelepi. My research will primarily focus on pore-scale modeling of lithium-based batteries.
Prior to this, I graduated from the Indian Institute of Technology (IIT) Bombay with a Bachelor's and a Master's in Energy Science and Engineering. I love to play all sorts of sports, especially football, badminton, and cricket. You would usually see me running around the campus on odd days. Hit me up if you want to have a chat! -
Siddhartha Joshi, PhD
Senior Research Scientist, Neurosurgery
BioI am a neuroscientist with over 20 years of experience in empirical, hypothesis-driven research. My knowledge and expertise cover a wide range of topics and methods within systems neuroscience including sensory perception, neurophysiology and neuroanatomy, eye-movements and pupillometry. My research is focused on how the brain represents and uses sensory information to drive goal-directed behaviors and in exploring how intrinsic neuromodulatory systems influence the neural circuits that drive such behaviors. At Stanford, I am looking to channel my experience towards studying human neural signals that underlie computations governing pain and attention.
My work thus far [1-4] supports the idea that there is a need for simultaneous measurements of behavior, brain state and large-scale cortical activity to understand how the brain’s circuits: (i) are modulated by ascending sympathetic activation and (ii) provide top-down control of descending sympathetic control. These are technically challenging experiments [3,4] that have thus far largely been explored in animal models. My current goal is to leverage opportunities to directly measure human brain activity via electrodes implanted for monitoring epilepsy. Towards this end, I will use state-of-the-art neurophysiological, behavioral, pupillometric techniques combined with quantitative analyses.
Representative publications:
1. Joshi S, Gold JI (2020) Pupil Size as a Window on Neural Substrates of Cognition. Trends in Cognitive Sciences 24(6), 466-480. PMCID: PMC7271902.
2. Joshi S (2024). Control of Pupil Responses. Encyclopedia of the Human Brain (Elsevier), Second Edition, Vol.1, 374-387.
3. Joshi S, Li, Y, Kalwani R, Gold JI (2016). Relationships between pupil diameter and neuronal activity in the locus coeruleus, colliculi and cingulate cortex. Neuron 89:221-234. PMCID: PMC4707070.
4. Joshi S, Gold JI (2022) Context-Dependent Relationships between Locus Coeruleus Firing Patterns and Coordinated Neural Activity in the Anterior Cingulate Cortex. eLife 11:e63490. PMCID: PMC8765756. -
Anjali Jotwani, MD, MS
Clinical Assistant Professor, Obstetrics & Gynecology - Maternal Fetal Medicine
BioDr. Anjali Jotwani is an obstetrician and gynecologist at Stanford Health Care and a clinical assistant professor in the Department of Obstetrics & Gynecology, Division of Gynecology & Gynecologic Specialties at Stanford University School of Medicine.
Dr. Jotwani offers comprehensive obstetric and gynecologic care for patients at every stage of life, from adolescence to menopause. She specializes in obstetric care, preventive care, the perimenopause transition and menopause, and sexual health. Dr. Jotwani’s approach is rooted in trauma‑informed care and reproductive justice. She is committed to prioritizing patient perspectives, safety, and equity.
Dr. Jotwani’s research spans many areas, from the use of genetic testing during pregnancy, to factors that contribute to gynecologic cancers. Her research interests include obstetric trauma, postpartum wellness, and medical student and resident education. Dr. Jotwani has published her work in many peer-reviewed journals, including Fertility and Sterility, JAMA Oncology, and Cell. She has also delivered presentations at national conferences, including the annual meeting of the American Society for Reproductive Medicine.
Dr. Jotwani is a junior fellow of the American College of Obstetricians and Gynecologists and a member of the North American Menopause Society. -
Lydia-Marie Joubert
Staff Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordDirector of Operations, Stanford SLAC Cryo-ET Center
Staff Scientist -
Andre Journel
The Donald and Donald M. Steel Professor of Earth Sciences, Emeritus
Current Research and Scholarly InterestsNon-parametric, non-Gaussian Geostatistics, Stochastic Simulation, Training image-based simulation
