Stanford University
Showing 401-450 of 5,104 Results
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Rohan Tan Bhowmik
Masters Student in Computer Science, admitted Autumn 2024
BioI am an undergraduate student at Stanford University studying Computer Science and Electrical Engineering with an emphasis on artificial intelligence. I am constantly seeking to learn and develop new machine-learning techniques and build applications based on them, especially in the areas of health, environment, and human-computer interaction. I’m especially interested in brain-inspired computing for energy-efficient systems.
As a software engineering intern at AMD AI Group since June 2024, I’ve gained expertise in machine learning compilers and optimized model performance across diverse hardware architectures. I unified AI/ML model implementations for high-performance computing on CPUs, GPUs, and AI accelerators. I also developed masked and causal attention modules on Torch-MLIR and IREE, enabling models like LLaMa and Stable Diffusion on the AMD stack.
My other recent projects include the development of 1) a wildfire prediction method by analyzing trends in environmental, meteorological, and geological data with an aim to mitigate the impact of California’s devastating wildfire seasons, 2) a respiratory disease exacerbation prediction system based on a novel spatio-temporal artificial intelligence algorithm and local environmental sensor network, 3) a machine learning technique for automating patient facial condition assessment and surgery planning, 4) blood alcohol level estimation using infrared imaging and deep neural networks, and 5) a novel image recognition framework utilizing a quantum optical convolutional neural network.
I have published papers based on my research in peer-reviewed journals, including the Journal of Environmental Management, IEEE Access, Electronics, and Facial Plastic Surgery & Aesthetic Medicine. I have won top national awards in the USA Physics, Astronomy & Astrophysics, Junior Math, Computing, and Biology Olympiads and was named Regeneron STS Top 300 Finalist in 2023.
Outside of academics, I play clarinet, tennis, and volunteer with organizations to help sensory-deficient individuals, including the Baker Institute for Children with Hearing Loss, Starkey Hearing Foundation, and VocaliD. -
Brian Boitnott
Ph.D. Student in Biomedical Physics, admitted Autumn 2023
BioI am currently a Biomedical Physics PhD candidate in the Department of Radiology. In the two years prior to Stanford, I was at MIT Lincoln Laboratory, where I worked on airborne remote sensing systems and was on the core team developing a laser-ultrasound system for medical imaging.
My interests revolve around health technology and perception. I started in neuroscience, studying attention and cognitive control, and now work on designing systems and algorithms for sensing and processing biomedical signals. My broader interests are at the intersection between emerging technology innovation, translation, and long-term innovation strategy. -
Sam Bollinger
Ph.D. Student in Cancer Biology, admitted Autumn 2021
BioOriginally from State College, Pennsylvania, Sam graduated with honors from Penn State University with a B.S. in Chemistry and a minor in Biology. He subsequently spent three years working at the Lankenau Institute for Medical Research for Dr. Ellen Heber-Katz. Sam hopes to expand the paradigm of cancer research and help to develop novel therapies for cancer and other ailments. He is also interested in optimization of physical and mental performance.
