Stanford University
Showing 1,221-1,230 of 5,111 Results
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Steven Feng
Ph.D. Student in Computer Science, admitted Autumn 2022
BioI'm a Stanford Computer Science PhD student and NSERC PGS-D scholar, working with the Stanford AI Lab and Stanford NLP Group. I am co-advised by Michael C. Frank and Noah Goodman as part of the Language & Cognition (LangCog) and Computation & Cognition (CoCo) Labs. I am grateful to receive support from Amazon Science, Microsoft AFMR, and StabilityAI.
My ultimate goal is to blend knowledge from multiple disciplines to advance AI research. My current research centers around aligning foundation model and human learning and capabilities, particularly in reasoning, generalization, and efficiency. I have explored ways to improve the controllability of language and visual generation models, and integrate structured and multimodal information to enhance their reasoning capabilities.
I'm investigating psychologically and cognitively inspired methods for continual learning, self-improvement, and advanced reasoning in foundation models. I'm also exploring methods to bridge the data efficiency gap between human and model learning while shedding further light on human cognitive models and our efficient language and vision acquisition capabilities.
Previously, I was a master's student at Carnegie Mellon University (CMU), where I worked with Eduard Hovy and Malihe Alikhani on language generation, data augmentation, and commonsense reasoning. Before that, I was an undergraduate student at the University of Waterloo, where I worked with Jesse Hoey on dialogue agents and text generation.
My research contributions have been recognized with several publications at major conferences and a best paper award at INLG 2021. I am also an Honorable Mention for the Jessie W.H. Zou Memorial Award and CRA Outstanding Undergraduate Researcher Award.
I am a co-instructor for the Stanford CS25 Transformers course, and mentor and advise several students. I also led the organization of CtrlGen, a controllable generation workshop at NeurIPS 2021, and was involved in the GEM benchmark and workshop for NLG evaluation.
In my free time, I enjoy gaming, playing the piano and guitar, martial arts, and table tennis. I am also the founder and president of the Stanford Piano Society. -
Jill Grey Ferguson
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2026
BioJill Grey Ferguson is a PhD student in the Emmett Interdisciplinary Program in Environment and Resources. Jill is also the co-founder of LibertyHomes, a nonprofit dedicated to scaling inclusive utility investment systems with robust consumer protections that make home energy upgrades accessible to all people without credit checks, upfront cost, or debt. Prior to starting LibertyHomes, Jill was a Truman-Albright Fellow at the American Council for an Energy-Efficient Economy where she led the Rural Research Initiative. She has worked at the US Department of Energy, Office of Energy Efficiency and Renewable Energy as a solar technology fellow and as a photovoltaic cell researcher at the Massachusetts Institute of Technology. Jill earned a bachelor of science in material science engineering from the University of Virginia.
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Philip Fernandes
Masters Student in Translational Research and Applied Medicine, admitted Autumn 2026
Fellow in Pediatrics - GastroenterologyBioI am a Clinical Fellow in Pediatric Gastroenterology, Hepatology, and Nutrition and a Tashia and John Morgridge Endowed Postdoctoral Fellow at Stanford University and Lucile Packard Children’s Hospital, supported by the Maternal & Child Health Research Institute. I completed my residency at Henry Ford St. John Hospital in Detroit, where caring for diverse communities shaped my dedication to health equity and cultural humility.
In the Rosen Lab, my research centers on pediatric ulcerative colitis (UC). I use 3D colonoids—lab-grown models of the colon derived from intestinal stem cells—alongside single-cell genomic technologies to map cellular metabolic changes and cell-to-cell interactions. By decoding these cellular dynamics, my goal is to uncover targeted, precise therapies that better control disease, prevent complications, and support long-term growth, nutrition, and overall health for pediatric patients.
This work builds on my foundation in pediatric gastroenterology at the University of Virginia’s Syed Lab, where I contributed to data interpretation, grant development, and multi-institutional research integrating genomics and machine learning to investigate gastrointestinal structure and function.
As a student in the Master's in Translational Research and Applied Medicine (M-TRAM) program, I am building actionable skills across clinical medicine, translational research, and industry-driven approaches to innovation, preparing to advance therapeutics for complex pediatric enteropathies.
