Stanford University
Showing 2,601-2,700 of 6,031 Results
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Yun-Dam Ko
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2024
BioYun-Dam Ko's research focuses on combining data-driven solutions with building physics to enhance the sustainability of the urban built environment. His recent work leverages AI to optimize building energy performance, with a specific focus on intelligent HVAC system control and advanced Building Energy Modeling. Bridging research and practice, he previously worked at a startup where he developed and deployed AI solutions to improve building energy efficiency at scale.
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Fikunwa Kolawole
MD Student with Scholarly Concentration in Bioengineering / Cardiovascular-Pulmonary Sciences, expected graduation Spring 2028
BioFikunwa is a mechanical engineering Ph.D. candidate in the cardiovascular Magnetic Resonance Lab (Ennis Lab) in the Stanford Radiology Department. His research, which is at the intersection between medicine and engineering, is focused on developing mechanics-based clinical biomarkers for heart disease. Through his research, he aims to establish a comprehensively validated and clinically viable tool for estimating in vivo heart tissue stiffness to better understand and manage heart failure.
He began his academic journey as a mechanical engineering undergraduate student at Howard University during which time he also worked as a researcher at the FDA’s department of applied mechanics, characterizing the mechanical response of metals used in implantable cardiovascular devices. At Howard, he also supported research in the Applied Mechanics and Materials Lab and Biosensors Lab, as an undergraduate research assistant. Upon completing his undergraduate studies, in 2019, he joined Stanford University’s mechanical engineering department. He is also affiliated with the Radiology departments at Stanford and the Veterans Administration Palo Alto Health Care System. He is deeply passionate about empowering minority students to pursue STEM careers. Additionally, he is a fellow of the Bio-X, Stanford’s Interdisciplinary biosciences institute -
Taeyoung Kong
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioTaeyoung is a Ph.D. student at Stanford University working with prof. Mark Horowitz in VLSI group and he is currently working within the AHA Agile Hardware Project. He is interested in hardware accelerator for deep learning / image processing and hardware design methodology. Taeyoung received a B.S. in Electrical and Computer Engineering from Seoul National University in 2017, and M.S. in Electrical Engineering from Stanford University in 2020.
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Kimia Koochakzadeh-Yazdi
Doctor of Musical Arts Student, Musical Arts
CCRMA Student Assistant, MusicBioKimia Koochakzadeh-Yazdi is an Iranian composer and performer. She writes for hybrid instrumental/electronic ensembles, creates electroacoustic and audiovisual works, builds instruments, and performs electronic music. She explores the unfamiliar familiar while being motivated by how melodies unfold through time; finding ways to play with various musical thresholds and exploring musical extremes is something that she is currently attracted to. Her work experiments with merging Iranian music with the more contemporary classical music aesthetics.
Being a cross-disciplinary artist, she has actively collaborated on projects evolving around dance, film, and theater. She is the co-founder and producer of Fashion x Electronics, a collective focused on creating interdisciplinary works based on fashion and electronic music.
Kimia’s work has been showcased by organizations across the globe and her work has been performed internationally at festivals including Ars Electronica, Festival Ecos Urbanos, Tehran Contemporary Sounds, Sonic Matter Festival, New York City Electroacoustic Music Festival, Sound and Music Conference, and Modulus Festival, among others.
She holds a BFA in Music Composition from Simon Fraser University’s Interdisciplinary School for the Contemporary Arts. Kimia is currently based in San Francisco and is a doctorate candidate in Music Composition at Stanford University. -
Filippos Kostakis
Ph.D. Student in Energy Resources Engineering, admitted Winter 2020
Current Research and Scholarly InterestsMutlifidelity strategies for uncertainty quantification, data assimilation and optimization in oil and gas reservoirs.
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Aditya Kothari
Masters Student in Aeronautics and Astronautics, admitted Autumn 2025
Reader/Grader - Graduate, WagerBioAditya is an MS Aero/Astro student at Stanford. He works at the intersection of flight sciences and controls and has a background in vehicle systems engineering, aerodynamics, propulsions, structures and new product development. He led his university UAV team as the Captain and spearheaded the development and testing of over seven award winning UAVs including eVTOLs, eSTOLs, eCTOLs and other projects. Many of his past projects involve industry collaboration like those with GKN Aerospace, AIRBUS, Honeywell Aerospace and Forbes Marshall. He was also associated with ASME-VIT as the Chief Editor for ASME Technical Blogs and a member of the AIAA and the Rotaract NGO.
Outside of work he likes to hike and loves to play badminton and other racquet sports. -
Ava Kouhana
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2024
BioHi ! I am an ICME master's degree student at Stanford University, currently conduction research in Professor Gordon Wetzstein’s Computational Imaging Lab.
Prior to Stanford, I dedicated six months conducting research at Harvard under the supervision of Dr. Mengyu Wang, focusing primarily on Computer Vision tasks like Image Segmentation and Vision-Language Models. Before joining ICME , I have had the opportunity to work for six months supervised by Stanford Professor Craig Levin, researching the application of Diffusion Models for image super-resolution.
My research interests primarily revolve around computer vision, deep learning, and generative AI, with a growing interest for 3D modeling and video generation. -
Emma Krasovich Southworth
Ph.D. Student in Environment and Resources, admitted Autumn 2022
BioResearch Interests:
planetary health | climate extremes | global change | environmental pollution and toxic exposures | disease ecology | environmental data science | causal inference
Emma is a PhD candidate in Environment and Resources at Stanford University’s Emmett Interdisciplinary Program in Environment and Resources (E-IPER). She is co-advised by Marshall Burke (Global Environmental Policy) and Erin Mordecai (Biology) and is a Research Fellow in the Global Policy Lab (led by Solomon Hsiang). She is a Stanford Data Science Scholar, NSF Graduate Research Fellow, and Stanford Edge Fellow.
Emma's dissertation research is united by the question: how can we protect human health in the face of intensifying and extreme environmental change? We live in an era where humans are impacting and are impacted by their environment at an unprecedented scale. Natural disasters such as wildfires are growing in size and severity, while tropical cyclones are intensifying and leading to lasting damage. Her research aims to contribute to a body of evidence that measures how extreme climate events lead to environmental degradation, harmful exposures, and disease outcomes as a way to better prepare for and prevent future impacts.
Prior to starting her PhD, Emma worked as a Research Analyst at the Global Policy Lab at UC Berkeley (now at Stanford). During her time at GPL, she was part of a project that aimed to identify land-based sources of non-point source water pollution in national-scale river systems in New Zealand and the US Mississippi River Basin. Emma completed her MPH in global and environmental health science and global health at Columbia University and received a BA in behavioral neuroscience from Colgate University.
When she is not at her desk, you can find her outside - most likely running or hiking up a mountain. She also co-founded a trivia company called aeroTRIV and loves to host bespoke trivia nights to bring communities together. -
Joy Kumagai
Ph.D. Student in Biology, admitted Autumn 2022
Other Tech - Graduate, BiologyBioJoy is interested in the ways conservation and disease affect the resilience of coastal foundational species. Her current focus includes studying how seagrasses and kelp forests respond to simultaneous pressures, including marine heatwaves and disease dynamics, and how marine protected areas may affect the resistance and recovery of these ecosystems. She is passionate about useful, transdisciplinary research that increases the wellbeing of people through the sustainable management of marine ecosystems. Using her skillset in GIS, her previous work focused on marine conservation of coastal ecosystems, spanning valuing carbon stocks within Mexico to developing metrics quantifying the extent of area-based conservation. Additionally, she worked for IPBES at the science-policy interface implementing data management within international assessments focused on biodiversity and ecosystem services. When not at her desk, she likes to be out in nature, hiking, swimming, or knitting.
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Chirag Kumar
Ph.D. Student in Environment and Resources, admitted Autumn 2025
BioChirag Kumar combines next-generation modeling tools with on-the-ground field research to provide actionable strategies that improve human health amidst environmental and migratory uncertainty. He is interested in causally unraveling the environmental factors driving infectious diseases to inform targeted interventions that mitigate those threats and how those insights can be directly shared with the public to empower individual-level change. To unravel complex human-environment-health systems, he has conducted on-the-ground field work and mechanistic biological analyses to provide key inputs into his models. His findings have been used to advocate for new World Health Organization vaccine recommendations against antimicrobial-resistant pathogens. Chirag previously served as a Biden-Harris US Digital Corps Data Fellow at the US CDC’s Center for Forecasting and Outbreak Analytics and on the Biden administration’s White House AI Forum. He graduated from Princeton University as a Smith-Newton Environmental Research Scholar where he concentrated in chemistry with minors in applied math, global health, and quantitative biology. He is supported by a National Science Foundation Graduate Research Fellowship.
