Explorer Categories: Unknown/Detached

Erin Redwing is a sixth year PhD student and NSF graduate research fellow in Earth & Planetary Science at UC Berkeley, working on ground-based telescope observations of outer solar system moons with Dr. Imke de Pater. Erin is currently working on observations of Jupiter’s moon Io, which is the most volcanically active body in our solar system, and she hopes to be able to use these observations to understand the relationship between Io’s volcanism and its atmosphere. Erin is also working on developing new techniques for biosignature detection, focused on Enceladus, a moon of Saturn. She is fascinated by the philosophy of science and metaphysics, and their implications for how we determine truth in our society.

Sean Kitayama hails from the suburbs of Los Angeles and received his B.S. with honors in bioengineering from UC Berkeley in 2018 as a Regents’ and Chancellor’s Scholar. During his undergraduate career, he worked in the laboratories of Professor Shuvo Roy at UCSF and Professor Mohammad Mofrad at UC Berkeley, using microfabrication techniques to develop implantable medical devices, ranging from bioartificial organs to biosensors. Sean is currently a Ph.D. candidate in the UC Berkeley-UCSF Graduate Program in Bioengineering, working under the direction of Professor Lydia Sohn, where his current projects involve utilizing novel engineering technologies to recapitulate the tumor microenvironment in vitro. He is interested in answering fundamental questions in cancer biology, specifically on the role of extracellular vesicles and cancer-stem cells in the metastatic cascade, which potentially has implications in guiding the development of future targeted therapies for metastatic cancer. Outside of lab, Sean is involved in engineering educational outreach, plays the clarinet in the university orchestra, travels avidly, and enjoys oenology and gastronomy.

I am a PhD candidate in EECS studying next generation power converters to enable electric aircrafts and future space travel.

Austin was born in San Francisco and has grown up in Bay Area. He is a 4th year undergraduate at UC Berkeley studying electrical engineering and computer science (EECS). At Berkeley, he is involved with undergraduate research in a micro-robotics lab as well as a computer vision group. His research interests include deep learning, robotics, and computer vision and especially the intersection of those three subjects. In addition to research, Austin has enjoyed his time as a teaching assistant in an introductory electrical engineering course at Berkeley. Outside of academics, Austin enjoys running, biking, and exploring the outdoors.

Marius Wiggert is originally from Germany where he studied Engineering Science, Philosophy, and Technology Management during his undergraduate. He is an outdoor enthusiast, enjoys camping on mountain tops, skiing, kitesurfing, and is an avid learner. In his EECS PhD at Berkeley, Marius focuses on developing methods that enhance the type of systems which we can reliably operate in and control. As he feels deeply connected to nature specifically the ocean and mountains, he initiated and won funding for his main research project: developing algorithms to reliably control underactuated seaweed-growing platforms in the ocean. To make seaweed-based carbon-sequestration as affordable as possible the platforms have limited energy and thrust smaller than ocean currents. This inspired the idea of the platforms “hitchhiking” on non-linear ocean currents to achieve steering over distances of hundreds of kilometers.

My research concerns quantifying emissions from the transportation sector using a dense sensor network in the Bay Area. To analyze effective methods that we can use to make inferences and new information about CO2 and particulate emissions from the transportation sector.

I am a PhD Candidate at the University of California, Berkeley working at the intersection of machine learning and robotics. He is a member of the Department of Electrical Engineering and Computer Sciences, formally advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab. Nathan also has worked extensively with and been advised by Roberto Calandra at Facebook AI Research. Nathan has joined Facebook AI and DeepMind for internships exploring his research interests.

Nathan is an active member of the Graduates for Engaged and Extended Scholarship in Computing and Engineering (GEESE) working to understand how technology interfaces with society, writing frequently at [https://robotic.substack.com]. During his Ph.D., he was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism.

Caleb Xavier Bugg is a graduate student in the Department of Industrial Engineering and Operations Research (IEOR) at The University of California, Berkeley. We create mathematical models to optimize decision-making processes, using all the information and resources available at the time of decision. Ultimately, we hope to move Our society towards the equitable distribution of raw materials and production means.

I study electronic structure, and from these calculations and other design principles known from this phenomena, I will be synthesizing new classes of honeycomb Kitaev quantum spin liquids,. The focus of this work will be in spin transport measurements of these materials.