Stanford University
Showing 21,201-21,250 of 35,026 Results
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Fernando Mujica
Adjunct Professor, Electrical Engineering
BioFernando Mujica is an Adjunct Professor in the Department of Electrical Engineering at Stanford University. He received the Ph.D. degree in electrical engineering from the Georgia Institute of Technology in 1999 and B.S. and M.S. degrees from Universidad Simón Bolivar in 1993 and 1995, respectively. Prof. Mujica's research interests are in the area of signal processing. He has been granted more than 25 US patents over a wide range of applications. Prof. Mujica was elected to the Tau Beta Pi Teaching Honor Roll in 2022.
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Tapan Mukerji
Professor (Research) of Energy Science Engineering, of Earth and Planetary Sciences and of Geophysics
Current Research and Scholarly InterestsMy students and I use theoretical, computational, and statistical models, to discover and understand fundamental relations between geophysical data and subsurface properties, to quantify uncertainty in our geomodels, and to address value of information for decision making under uncertainty.
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Kunal Mukherjee
Assistant Professor of Materials Science and Engineering
BioKunal Mukherjee is an assistant professor in Materials Science and Engineering at Stanford. He has been an assistant professor in the Materials department at UC Santa Barbara (2016-2020), held postdoctoral appointments at IBM TJ Watson Research Center (2016) and MIT (2015), and worked as a transceiver engineer at Finisar (2009-2010).
The Mukherjee group specializes in semiconductors that emit and detect light in the infrared. Our research enables better materials for data transmission, sensing, manufacturing, and environmental monitoring. We make high-quality thin films with IV-VI (PbSnSe) and III-V (GaAs-InAs/GaSb) material systems and spend much of our time understanding how imperfections in the crystalline structure such as dislocations and point defects impact their electronic and optical properties. This holds the key to directly integrating these semiconductors with silicon and germanium substrates for new hybrid circuits that combine infrared photonics and conventional electronics. -
Souradeep Mukherjee
Ph.D. Student in Earth and Planetary Sciences, admitted Autumn 2023
BioSouradeep is an Exploration Geologist-turned-AI Researcher developing decision-making algorithms to discover high-grade mineral deposits. With almost a decade of experience in on-field exploration of critical & strategic mineral deposits, he is now using his computer to unlock the full potential of mineral discovery.
Souradeep is currently a Doctoral Researcher at Stanford Mineral-X. His current work focuses on fusing multi-element soil geochemistry with 3D geological inference to build predictive models for subsurface intrusion-hosted Ni-Cu sulfide mineralization in the Curaçá Valley, Brazil. By leveraging machine learning, geostatistics, and compositional data analysis, he aims to reduce geological uncertainty and operational costs in mineral targeting, transforming how exploration is conducted in under-explored terrains.
Prior to Stanford, Souradeep held several technical and supervisory roles at the Atomic Minerals Directorate for Exploration and Research (AMD), Government of India, where he spearheaded multiple national-scale mineral exploration campaigns. He led the exploration and evaluation of uranium-bearing sediments in the Bhima Basin, the mapping of lithium-rich pegmatites in Karnataka, and the delineation of heavy mineral sand deposits across the east coast of India. His work included advanced geological mapping, structural interpretation, kinematic analysis, downhole geophysics, petrological microscopy, and geostatistical modeling—skills that now enrich his algorithmic thinking in research.
His research interests span compositional data analysis, geospatial modeling, machine learning for Earth systems, building intelligent decision making agents for mineral exploration and mineral prospectivity analysis. He is particularly passionate about bridging the gap between traditional geosciences and computational intelligence to power the next generation of resource discovery tools.
When he’s not deep into code or core samples, Souradeep contributes to scientific outreach, mentors young geoscientists, and advocates for data transparency and sustainability in the mining sector. He is also a writer, a poet and loves to write pieces on existential philosophy. -
Amar Mukunda
Masters Student in Engineering, admitted Winter 2024
BioAmar Mukunda pursued his Master's degree in Energy and Infrastructure Engineering. Amar's overall focus is developing strategies to meet America's 21st century energy and infrastructure needs while alleviating poverty the country's most economically challenged communities. Amar's degree is focused on both the technical engineering aspects of a broad range of zero carbon technologies as well as the finance and legal aspects of building large energy projects.
Amar previously served Assistant Director of Roca, one of Maryland's premier gun violence prevention programs, where he ran the organization's workforce development and and education teams. Through his role at Roca Amar was a Bloomberg fellow at Johns Hopkins University working on understanding gun violence and addiction from a public health perspective. From 2015-2016 Amar was a Fulbright Scholar researching artificial intelligence and machine learning in the field of natural language processing. He graduated from Amherst College Magna Cum Laude in 2015 with majors in Computer Science and Geology. -
Pavithra Mukunda
Clinical Rsch Mgr 1, Psych/Public Mental Health & Population Sciences
Current Role at StanfordClinical Research Manager
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Liam Edward Mulhall
Software Developer, Biomedical Data Science
Current Role at StanfordLiam develops and maintains the HLA Curation Interface, a tool that supports the assessment of HLA alleles and haplotypes for use in precision medicine and research. He also works on internal tools used by the Stanford ClinGen team.
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Sandeepa Mullady, MD
Clinical Assistant Professor, Adult Neurology
BioDr. Mullady is a board-certified neurologist providing care at Stanford Health Care’s Memory Disorders Center. She completed a memory and aging fellowship at the University of California, San Francisco. She is currently a clinical assistant professor in the Department of Neurology and Neurological Sciences at Stanford University School of Medicine.
Dr. Mullady specializes in memory disorders and aging. She has a particular interest in caring for homeless patients with neurological conditions. She currently serves as community engagement lead in the division and has been pivotal in creating unique pathways of access to healthcare for underserved patients in the Bay Area.
She is passionate about educating both patients and colleagues. She serves as associate program director of the memory/behavioral neurology fellowship.
Dr. Mullady excels in community outreach, health advocacy, and leadership. She is also co-director of the new multi-disciplinary Frontotemporal Dementia (FTD) clinic, which seeks to provide patients access to timely diagnosis, advocacy, and intervention. She has organized and directed outreach programs at women’s shelters, clinics for the homeless, and an alcohol and drug rehabilitation center. She has also developed programs to encourage childhood reading at home and to educate underserved communities about neurodegenerative disorders.
She has published peer-reviewed articles in Frontiers of Neurology that report her research on the effects of homelessness on neurocognitive health. She has also presented posters at regional and national conferences on the topics of interprofessional health coaching and the effects of homelessness on mental function. -
Ann Mullally
George E. Becker Professor in Medicine
Current Research and Scholarly InterestsDr. Ann Mullally's aboratory studies the genetics, biology and therapy of myeloid blood cancers, with a focus on myeloproliferative neoplasms (MPN). Using primary human samples, mouse models, genomics, single-cell sequencing and CRISPR, as well as cellular and molecular biology, the lab has investigated the key genetic events underlying MPN pathogenesis. Dr. Mullally’s lab elucidated the mechanism by which mutant calreticulin (CALR) is oncogenic and causes MPN.
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Thomas Mullaney
Professor of History and, by courtesy, of East Asian Languages and Cultures
Current Research and Scholarly InterestsThomas S. Mullaney is Professor of History and Professor of East Asian Languages and Cultures, by courtesy. He is also the Kluge Chair in Technology and Society at the Library of Congress, and a Guggenheim Fellow.
He is the author or lead editor of 7 books, including The Chinese Typewriter (winner of the Fairbank prize), Your Computer is on Fire, Coming to Terms with the Nation: Ethnic Classification in Modern China, and the forthcoming The Chinese Computer—the first comprehensive history of Chinese-language computing.
His writings have appeared in the Journal of Asian Studies, Technology & Culture, Aeon, Foreign Affairs, and Foreign Policy, and his work has been featured in the LA Times, The Atlantic, the BBC, and in invited lectures at Google, Microsoft, Adobe, and more. He holds a PhD from Columbia University.
