Stanford University
Showing 281-300 of 2,025 Results
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Amer Karam
Clinical Professor, Obstetrics & Gynecology - Gynecologic Oncology
BioDr. Amer Karam is a board-certified, fellowship-trained gynecologic surgeon and clinical professor in the Stanford Medicine Department of Obstetrics & Gynecology, Division of Gynecology Oncology. He specializes in gynecologic oncology, hospice and palliative care, hereditary gynecologic cancers, laparoscopic and robotic gynecologic surgery, and obstetrics and gynecology.
Dr. Karam attended medical school at the American University in Beirut. He completed his internship and residency at the Johns Hopkins Hospital in Baltimore, Maryland, before completing a fellowship in gynecologic oncology at the University of California Los Angeles and a fellowship in breast surgery at the Memorial Sloan-Kettering Cancer Center. Dr. Karam has a vested interest in minimally invasive and robotic surgery with a practice centered on this approach for the treatment of patients with gynecologic malignancy and complicated pelvic surgery. He is currently director of Robotic Surgery and Outreach in the Division of Gynecologic Oncology. -
Abraar Karan, MD MS MPH DTM&H
Instructor, Medicine - Infectious Diseases
BioI am an Instructor in the Division of Infectious Diseases and Geographic Medicine with affiliations in the Center for Innovation in Global Health, the King Center on Global Development, and the Woods Institute for the Environment. I worked on the Covid19 outbreak for the Massachusetts Department of Public Health in 2020, and the Monkeypox outbreak for the Los Angeles County Department of Public Health in 2022-23. I also served on the WHO-commissioned Independent Panel on Pandemic Preparedness and Response's research team investigating early global spread of Covid19, and helped with policy-writing for the Biden-Harris campaign on reducing Covid19 in schools. I am currently the Principal Investigator of the following studies: a cluster-randomized controlled trial investigating whether air filtration and ventilation can reduce spread of Covid19 in low-income homes in the Bay Area (https://clinicaltrials.gov/ct2/show/NCT05777720); utilizing multiplex assays for detecting exposures to filoviruses in Western Kenya; and assessing H5N1 seroprevalence in high-risk farmworker communities in California. I am also a co-investigator on a study focused on rtPCR based surveillance of H5N1 in humans in Central California.
I completed my internal medicine residency at the Brigham and Women's Hospital/Harvard Medical School in the Global Health Equity program, and have been working in global health since 2008. I co-edited the book, "Protecting the Health of the Poor" (December 2015, Bloomsbury Publishing, https://www.bloomsbury.com/us/protecting-the-health-of-the-poor-9781783605521/); and co-founded Longsleeve insect repellent, winner of the 2018 Harvard Business School New Venture Competition and finalist in the 2019 Harvard President's Challenge. Media/press coverage has included NBC, ABC, BBC, PBS, CBS, CNN, MSNBC, Fox News, Washington Post, New York Times, SF Chronicle, Bloomberg, Boston Globe, ProPublica, WSJ, TIME, Politico, CBC News, Democracy Now, NPR, ESPN, The Atlantic, The Hill, Business Insider, Vice, Mother Jones, Vox, Forbes, Slate, STAT News, MTV News, Mother Jones, Science Friday, TMZ.
For a full list of publications, please see "Publications" tab. For full list of press/media interviews, please see "Media" link.
Teaching Experience:
Teaching Assistant-- Epi 231, Infectious Disease Epidemiology (Winter 2024)
Teaching Assistant-- Epi 237, Practical Approaches to Global Health Research (Autumn 2024)
Teaching Assistant-- Epi 231, Infectious Disease Epidemiology (Winter 2025) -
Barbara A. Karanian Ph.D. School of Engineering, previously Visiting Professor
Adjunct Lecturer, Design Courses
Lecturer, d.schoolBioBarbara A. Karanian, Ph.D. Lecturer and previously Visiting Professor in Mechanical Engineering Design. Barbara's research focuses on four areas within the psychology of work: 1) grounding a blend of theories from social-cognitive psychology, engineering design, and art to show how cognition affects workplace decisions; 2) changing the way people understand how emotions and motivation influence their work; 3) shifting norms of leaders involved in entrepreneurial minded action; 4) developing teaching methods with a storytelling focus in engineering education.
Barbara teaches and studies how a person’s behavior at work is framed around a blend of applied theoretical perspectives from cognitive and social psychology; engineering design thinking and art. Her storytelling methods provides a form to explore and discover the practices of inquiry and apply them to how individuals behave within organizations, and the ways organizations face challenges. Active storytelling and self-reflective observation helps student and industry leaders to iterate and progress from the early, inspirational phases of projects to reality. Founder of the Design Entrepreneuring Studio (http://web.stanford.edu/~karanian/ ), Barbara shows how storytelling fuels design and innovation.
With her students, she co-authored, "The Power of First Moments in Entrepreneurial Storytelling." Findings show that vulnerability amplifies engagement. For ME 236- Tales to Design Cars By- the opportunity to investigate a person’s relationship with cars through the application of research and a generative storytelling focus-students find the inspiration for designing a new automotive experience. For ME 243 Designing Emotion (for Reactive Car Interfaces) students learn to "know" emotion by operationally defining emotions in self and other: to decipher the impact of emotion in the future of driving or mobility experience.
Barbara received her B.A. in the double major of Experimental Psychology and Fine Arts from the College of the Holy Cross, her M.A. in Art Therapy from Lesley University, and her Ph.D. in Educational Studies in Organizational Behavior from Lesley University. She was a Teaching Fellow in Power and Leadership at Harvard University's GSE.
Awards:
2019 "Provoked Emotion in Student Stories Reveal Gendered Perceptions of What it Means to Be Innovative in Engineering," Karanian, B., Parlier, A., Taajamaa, V., Eskandari, M. 1st Place Research Paper - distinction, ASEE Entrepreneurship and Innovation Division
2013 Best Teaching Strategies Paper award, ASEE Entrepreneurship and Innovation Division -
Amarnath K R
Affiliate, Genetics
BioAmarnath K R is a computational scientist and deep learning engineer driving breakthroughs in biomedical AI specializing in the fusion of multi-omics data, deep learning, and clinical statistics to tackle some of medicine’s most complex challenges. His current work at Stanford University's Department of Genetics focuses on developing a deep learning framework for cross-modal cell type label transfer by aligning single-cell RNA-seq and proteomics data in a shared latent space. Using autoencoders and a joint contrasitive-based training, he achieves highly reliable annotation of unlabeled proteomics cells with RNA-derived ground truth. This work enables accurate integration of transcriptomic and proteomic modalities for downstream biological discovery and holds promise for expanding cell atlases.
What sets Amarnath apart is his commitment to both technical excellence and translational impact. From designing novel transformer architectures for histopathology and image inpainting, to developing AI-powered tools for emergency departments in India, his work is grounded in real-world deployment and global health relevance. His projects span continents and disciplines like, from integrating multi-omics datasets to uncover disease mechanisms and predict therapeutic response, to an acoustic classifier for biodiversity, to decoding brain function through neuroinformatics.
With multiple publications, international collaborations, and an unwavering drive to innovate, he represents a new generation of computational scientists shaping the future of personalized, data-driven medicine. -
Amin Karbasi
Adjunct Professor, Management Science and Engineering
BioAn academic entrepreneur, Amin Karbasi is a Senior Director at Cisco Foundation AI, an adjunct professor at Stanford, and serves on the scientific board of the Simons Institute for the Theory of Computing. Previously, he served as Chief Scientist at Robust Intelligence (acquired by Cisco in 2024). Before that, he was a professor at Yale University and a research staff scientist at Google. He has received the National Science Foundation (NSF) CAREER Award, Office of Naval Research (ONR) Young Investigator Award, Air Force Office of Scientific Research (AFOSR) Young Investigator Award, DARPA Young Faculty Award, National Academy of Engineering Grainger Award, Amazon Research Award, Nokia Bell-Labs Award, Google Faculty Research Award, Microsoft Azure Research Award, Yale innovation award, Simons Research Fellowship, and ETH Research Fellowship. His work has also been recognized with paper awards from Graphs in Biomedical Image Analysis (GRAIL), Medical Image Computing and Computer Assisted Interventions Conference (MICCAI), International Conference on Artificial Intelligence and Statistics (AISTATS), IEEE ComSoc Data Storage, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), ACM SIGMETRICS, and IEEE International Symposium on Information Theory (ISIT). His Ph.D. thesis received the Patrick Denantes Memorial Prize from the School of Computer and Communication Sciences at EPFL, Switzerland.
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Krzysztof Karbownik
Visiting Fellow, HOOVER RESEARCH
BioKrzysztof (Chris) Karbownik is an applied economist who is an associate professor at Emory University. His research is concentrated in three areas: infant and childhood health, family economics, and economics of education. His work was published in leading economics journals such as American Economic Review, American Economic Journal: Applied Economics, American Economic Journal: Economic Policy, Journal of Labor Economics, Journal of Human Resources or Economic Journal. It was also featured in press outlets such as New York Times, Wall Street Journal or Washington Post. Karbownik holds a PhD in economics from Uppsala University (2013), MAs in both economics and quantitative methods from Warsaw School of Economics (2008), and a BA in quantitative methods from Warsaw School of Economics (2008). He is affiliated with CESifo (Germany), Centre for Economic Analysis (Poland), IZA (Germany), and NBER (USA). Outside of academia, he is an avid skier, mountain biker, and mountaineer.
