Hi, I am a graduate student in the Berkeley Mechanical Engineering Department, focusing on Biomechanics. My current research involves collecting ultrasound images of human tendons during dynamic grip exertions, which I then apply to an in-house machine learning algorithm to quantify in vivo deformations. This work has the potential to provide a new
Hi, I am a graduate student in the Berkeley Mechanical Engineering Department, focusing on Biomechanics. My current research involves collecting ultrasound images of human tendons during dynamic grip exertions, which I then apply to an in-house machine learning algorithm to quantify in vivo deformations. This work has the potential to provide a new understanding of the tendons’ mechanical properties in vivo, which could significantly aid in rehabilitation and the prevention of workplace injuries. I am more broadly interested in tissue and full-body mechanics, ergonomics, human health, computational applications to biomechanics, and disease prevention. In terms of outreach, I love to tutor or mentor other students as well as volunteer or work with outreach non-profits in the community to encourage the next generation of engineers. Outside of the department, I like to play the flute and soccer, hike, run, read, and find unique activities in the city!
, which could significantly aid in rehabilitation and the prevention of workplace injuries. I am more broadly interested in tissue and full-body mechanics, ergonomics, human health, computational applications to biomechanics, and disease prevention. In terms of outreach, I love to tutor or mentor other students as well as volunteer or work with outreach non-profits in the community to encourage the next generation of engineers. Outside of the department, I like to play the flute and soccer, hike, run, read, and find unique activities in the city!
I am a PhD student in the Department of Psychology at UC Berkeley, advised by Bill Thompson. I am interested in understanding the computational principles of social intelligence: what gives rise to the unique successes (and failures) of human social reasoning, and how might we develop artificial intelligence that emulates and builds on those strengths, while helping us overcome our shortcomings? In particular, I am interested in studying the computations implicated in joint planning – the capacity for intelligent agents to work together to achieve a shared goal. I investigate these questions through a combination of computational modeling, behavioral experiments and large-scale data analysis. In my free time, you can find me running in the Berkeley Hills, watching soccer, or trying my hand at a new visual art form.
Hi there! I am a PhD candidate in Transportation Engineering at UC Berkeley, advised by Dr. Scott Moura. My research focuses on using statistical methods to assess safety and road network impacts of autonomous vehicles. I received my Bachelors of Science in computer science from the University of Michigan. Outside of research, I enjoy traveling, playing tennis, and sing in a choir.
Sumukhi Prasad is a rising third-year PhD student in Environmental Engineering at UC Berkeley. While pursuing her Bachelor of Science in Environmental Engineering at The University of Texas at Austin, she conducted air pollution-justice research. Inspired by this experience and her parents’ upbringings in heavily polluted regions of India, she pursued a Master of Science (MS) in Environmental Engineering at University of California, Berkeley (UCB) to iterate upon her air quality knowledge and technical skillset. She was selected as a recipient of the Environmental Engineers of the Future scholarship, for which she was funded by a consortium of companies to pursue this MS degree. After working for a year at CDM Smith as a Water Resources Engineer, she returned to UCB to pursue her PhD in Environmental Engineering. As a recipient of the National Science Foundation Graduate Research Fellowship Program (NSF GRFP), Sumukhi’s PhD research aims to quantify the spatial and temporal variability in air pollution exposure, specifically from refinery emissions, in Martinez, California. She is collaborating with a grassroots advocacy group called Healthy Martinez to hold refineries accountable for air pollution violations in the Martinez community. Sumukhi strives to conduct community-based participatory research that is synergistic, community-first, and collective.
I’m a PhD student working with Professor Thomas Schutzius on multiphase thermofouidocs and surface nanoengineering. My project involves enhancing passive thermal regulation systems for aerospace and energy applications, specifically targeting solutions for dust and foulant removal. I also work on a project on water remediation and looking into understanding interactions between nanoplastics and bubbles in water using advanced optical techniques. In my free time, I enjoy visiting bookstores and libraries, as well as embroidery, playing piano, and ukulele.
Leire Roma is a senior at the University of California, Berkeley, majoring in Aerospace Engineering and Astrophysics. This past summer, she worked at NASA Jet Propulsion Laboratory (JPL) as part of the Mobility and Robotics Systems Section on the Endurance Rover mission, contributing to the design and testing of robotic systems for surface sample acquisition. She has a strong research background in aerospace structures and metamaterials, and plans to pursue a Ph.D. in Aerospace Engineering in the future.
Mohit Dubey is a PhD candidate in Environmental Engineering at UC Berkeley, advised by Professor Tina Chow and Sebastien Biraud. As a DOE Computational Science Graduate Fellow, his work bridges atmospheric science, high-performance computing, and machine learning. His research focuses on methane emissions and multiscale atmospheric dynamics. Most recently, he co-developed the FAST method (Forced Advection Sampling Technique) in collaboration with the Osage Nation to detect and quantify methane emissions from orphaned oil and gas wells. His work integrates satellite, airborne, and ground-based data with modeling tools to better understand greenhouse gas sources and support data-driven climate solutions.
Jasmine Hughley is a Mechanical Engineering PhD student with a concentration in Heat Transfer and minors in Developmental Engineering and Fluid Mechanics. As the child of two military parents, she was born and raised in Georgia but graduated high school in Columbia, South Carolina. She later earned her Bachelors of Science in Mechanical Engineering from Howard University. Motivated by a commitment to address climate change through community-centered solutions, Jasmine’s research focuses on advancing alternative energy technologies and sustainable practices that mitigate pollution.
Jasmine’s Current work in Dr. Van P. Carey’s Energy and Multiphase Laboratory focuses on utilizing statistical thermodynamics and computational modeling to evaluate thermal behavior in heat pump technologies, with the goal of improving their safety and performance.
Long term, Jasmine aims to integrate her mechanical engineering and developmental engineering training to advance sustainable technologies- merging thermodynamic and heat transfer theory with computational science and energy justice.
Outside of the lab, Jasmine enjoys mentoring aspiring engineers, scrapbooking, puzzles, and musical theatre.
I am a third-year undergraduate student studying mechanical engineering at UC Berkeley. My research is focused on engineering dust-repellent surfaces through the development of hydrophobic microstructures for renewable energy and aerospace applications. This work aims to improve the efficiency of systems affected by dust accumulation, such as solar panels and aircraft. My academic interests include thermodynamics, control systems, and renewable energy solutions. I am passionate about how engineering can contribute to addressing global challenges, especially in energy efficiency and sustainability. Outside of academics, I enjoy reading, baking, and playing tennis and pickleball. I’m excited to continue growing my skills and contributing to projects that have a lasting, positive impact on both technology and society.
I’m a fourth-year Ph.D. student in the Mechanical Engineering Department, working with the Energy Conversion Group at the Lawrence Berkeley National Laboratory. My research focuses on characterizing the mechanical properties of polymers used in low-temperature water electrolyzers for green hydrogen production. This work supports the development of a clean, hydrogen-based energy economy that might one day arbitrage the supply and demand of renewable but intermittent energy sources.
You can often find me pleading with a load cell to give me more consistent stress-strain results, working late into the night at the Advanced Light Source on the hill, or running the fire trails behind it with my dog to unwind. I also enjoy rock climbing and surfing, and when I’m not moving, I love learning new things! J’essaie d’apprendre le français et la guitare.
