Vice Provost and Dean of Research
Showing 171-180 of 2,456 Results
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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) -
Julius Bishop, MD
Associate Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsDr. Bishop specializes in treating fractures of the upper extremity, lower extremity, pelvis and acetabulum as well as the management of post-traumatic problems including malunion, nonunion and infection.
He received his undergraduate and medical school degrees from Harvard University and went on to complete the Harvard Combined Orthopaedic Surgery Residency Program. He pursued his subspecialty training in Orthopaedic Traumatology at the world-renowned Harborview Medical Center in Seattle, Washington.
His research interests include applying decision analysis models to orthopaedic trauma problems, studying clinical outcomes after musculoskeletal injury, orthopaedic biomechanics, the basic science of fracture healing, and evaluating new strategies and techniques in fracture surgery. -
Coit Blacker
Ken Olivier and Angela Nomellini Professor in International Studies and Senior Fellow at the Freeman Spogli Institute for International Studies, Emeritus
Current Research and Scholarly InterestsSoviet/Russian foreign policy and security policy; U.S. foreign policy and security policy; national and international security relations
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Jose H. Blanchet
Professor of Management Science and Engineering
BioJose Blanchet is a Professor of Management Science and Engineering (MS&E) at Stanford and an Amazon Scholar. Prior to joining MS&E, he was a professor at Columbia (Industrial Engineering and Operations Research, and Statistics, 2008-2017), and before that he taught at Harvard (Statistics, 2004-2008). Jose is Fellow of the Institute of Mathematical Statistics. He is a recipient of the 2010 Erlang Prize and several best publication awards in areas such as applied probability, simulation, operations management, and revenue management. Jose also received a Presidential Early Career Award for Scientists and Engineers in 2010. He also has received numerous funding awards from various agencies and companies. He currently leads a Department of Defense Multi-University Research Initiative on extreme events. Jose has research interests in applied probability and Monte Carlo methods. He is the Editor in Chief of Mathematics of Operations Research. He has served on the editorial board of Advances in Applied Probability, Bernoulli, Extremes, Insurance: Mathematics and Economics, Journal of Applied Probability, Queueing Systems: Theory and Applications, and Stochastic Systems, among others.
