Vice Provost and Dean of Research
Showing 171-180 of 2,473 Results
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Ami Bhatt
Professor of Medicine (Hematology) and of Genetics
Current Research and Scholarly InterestsThe Bhatt lab is exploring how the microbiota is intertwined with states of health and disease. We apply the most modern genetic tools in an effort to deconvolute the mechanism of human diseases.
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Achintya K. Bhowmik, PhD
Adjunct Professor, OHNS/Otology & Neurotology Division
BioDr. Achin Bhowmik serves on the faculty of Stanford University as an adjunct professor at the Stanford School of Medicine, where he advises research and lectures in the areas of sensory augmentation, computational perception, cognitive neuroscience, and intelligent systems. He is also an affiliate faculty member of the Stanford Institute for Human-Centered Artificial Intelligence, Wu Tsai Neurosciences Institute and Human Performance Alliance, and has served as a mentor for the Stanford Institutes of Medicine Summer Research Program.
Dr. Bhowmik is the chief technology officer and executive vice president of engineering at Starkey Hearing Technologies, a privately-held medical devices company with over 6,000 employees and operations in over 100 countries worldwide. In this role, he is responsible for the company’s technology strategy, research and development, engineering and program management departments, and leading the drive to transform hearing aids into multifunction wearable health and communication devices with advanced sensors and artificial intelligence.
Previously, Dr. Bhowmik was the vice president and general manager of Perceptual Computing at Intel, where he was responsible for the R&D, engineering, operations, and businesses in the areas of 3D sensing and interactive computing, including Intel RealSense, computer vision and artificial intelligence, autonomous robots and drones, and immersive virtual and mixed reality devices.
Dr. Bhowmik serves as an industry representative for the US FDA Digital Health Advisory Committee. He is a member of the Forbes Technology Council, board of directors for Mojo Vision, RealSense, Astranu, and OpenCV. He also serves on the board of trustees for the National Captioning Institute and on advisory boards for the Fung Institute for Engineering Leadership at the University of California, Berkeley, and Biomedical Engineering at the University of Minnesota. He is also on the board of advisors for several technology startup companies.
He has also held adjunct and guest professor positions at the University of California, Berkeley, Liquid Crystal Institute of the Kent State University, Kyung Hee University, Seoul, and the Indian Institute of Technology, Gandhinagar. He received his Bachelor of Technology from the Indian Institute of Technology, Kanpur, PhD from Auburn University, and attended the Executive Program at Stanford University. He has authored over 200 publications, including three books and 98 granted patents globally.
Dr. Bhowmik is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the American Institute for Medical and Biological Engineering (AIMBE), the International Academy of Artificial Intelligence Sciences (AAIS), and the Society for Information Display (SID), where he previously served as President. His other honors include the Artificial Intelligence Excellence award by the Business Intelligence Group, Gold Globee award for “the Most Innovative Person of the Year in Healthcare”, the Misties Award, Top 25 Healthcare Technology CTOs by the Healthcare Technology Report, Notable Leaders in Healthcare by Twin Cities Business, the Healthcare Heroes award by the Business Journals, the Industrial Distinguished Leader award from the Asia-Pacific Signal and Information Processing Association, TIME’s Best Inventions, and the Red Dot Design award. -
Nidhi Bhutani
Associate Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsThe long-term goal of our research is to understand the fundamental mechanisms that govern and reprogram cellular fate during development, regeneration and disease.
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Vasiliki (Vicky) Bikia
Postdoctoral Scholar, Biomedical Data Sciences
BioDr. Vasiliki Bikia is a Postdoctoral Researcher at Stanford University, jointly affiliated with the Institute for Human-Centered Artificial Intelligence (HAI) and the Department of Biomedical Data Science, where she works under the mentorship of Prof. Roxana Daneshjou. She holds an Advanced Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH), Greece (2017), and a Ph.D. in Biomedical Engineering from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland (2021). Her doctoral work focused on addressing the clinical need for non-invasive cardiovascular monitoring by combining machine learning with physics-based numerical modeling.
Dr. Bikia's research centers on the development of large multimodal models to improve patient outcome prediction. She is also passionate about building patient-facing chatbots that help individuals better understand complex medical information, ultimately aiming to enhance communication and empower patients in their care journey. Moreover, she has contributed to the Stanford Spezi framework, designing and prototyping the Spezi Data Pipeline tool for enhanced digital health data accessibility and analysis workflows. -
Adrien Gabriel Bilal
Assistant Professor of Economics, Center Fellow at the Stanford Institute for Economic Policy Research and Assistant Professor, by courtesy, of Environmental Social Sciences
BioAdrien Bilal is an Assistant Professor of Economics at Stanford University. He is a macroeconomist who works on topics related to climate change, spatial and labor economics.
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Lacramioara Bintu
Associate Professor of Bioengineering
BioLacra Bintu is an Associate Professor of Bioengineering and a member of the Biophysics Program and Bio-X Institute at Stanford University. She earned undergraduate degrees in Physics, Mathematics, and Neuroscience from Brandeis University. As an undergraduate working with Jane Kondev and Rob Phillips, she used statistical mechanics to model transcription factor binding and gene regulation. She completed her Physics Ph.D. at U.C. Berkeley with Carlos Bustamante, where she used single-molecule approaches to study transcription on nucleosomal templates. As a postdoctoral scholar at Caltech with Michael Elowitz, she used live-cell microscopy to investigate chromatin-mediated gene regulation.
Her group seeks to discover fundamental principles of gene regulation and advance mammalian synthetic biology, with an emphasis on causal mechanisms, dynamic responses, and single-cell variability that enable signal integration at the population level. The lab develops tools to manipulate gene expression, for example by recruiting chromatin, transcriptional, or RNA regulators to defined genomic loci, or building DNA regulatory elements such as signal-responsive enhancers or silencers. To assess gene regulation responses at scale, the lab is using and developing new sequencing and imaging based techniques such as: delivery of large DNA libraries to cells coupled with sorting based on fluorescent and magnetic reporters, time-lapse fluorescence microscopy and in situ sequencing, or single-molecule footprinting of transcription factors and nucleosomes binding in live cells. Her group uses mathematical modeling to capture the fundamental principles underlying the observed gene expression responses and to predict new behaviors. This work provides insight into epigenetic mechanisms underlying development, cancer, and immune function and informs strategies for gene therapies that correct aberrant expression states.
Lacra lives in Menlo Park with her husband Anton and son Manu. They enjoy hiking, cooking, reading, playing board games, and watching birds in their backyard with their two cats. -
Biondo Biondi
Barney and Estelle Morris Professor
Current Research and Scholarly InterestsResearch
My students and I devise new algorithms to improve the imaging of reflection seismic data. Images obtained from seismic data are the main source of information on the structural and stratigraphic complexities in Earth's subsurface. These images are constructed by processing seismic wavefields recorded at the surface of Earth and generated by either active-source experiments (reflection data), or by far-away earthquakes (teleseismic data). The high-resolution and fidelity of 3-D reflection-seismic images enables oil companies to drill with high accuracy for hydrocarbon reservoirs that are buried under two kilometers of water and up to 15 kilometers of sediments and hard rock. To achieve this technological feat, the recorded data must be processed employing advanced mathematical algorithms that harness the power of huge computational resources. To demonstrate the advantages of our new methods, we process 3D field data on our parallel cluster running several hundreds of processors.
Teaching
I teach a course on seismic imaging for graduate students in geophysics and in the other departments of the School of Earth Sciences. I run a research graduate seminar every quarter of the year. This year I will be teaching a one-day short course in 30 cities around the world as the SEG/EAGE Distinguished Instructor Short Course, the most important educational outreach program of these two societies.
Professional Activities
2007 SEG/EAGE Distinguished Instructor Short Course (2007); co-director, Stanford Exploration Project (1998-present); founding member, Editorial Board of SIAM Journal on Imaging Sciences (2007-present); member, SEG Research Committee (1996-present); chairman, SEG/EAGE Summer Research Workshop (2006)
