The Barry Goldwater Scholarship and Excellence in Education Program awards scholarships to college
sophomores or juniors who intend to pursue research careers in science, mathematics, and engineering.
The students—Myra Cheng, John Heath, Aditya Sivakumar, and Alexander Zlokapa—are among 396
college students from across the United States chosen this year from a pool of 1,353 nominees. The
scholarships, which were established by Congress in 1986 to honor the late Senator Barry Goldwater,
help to cover costs associated with tuition, fees, books, and room and board for one or two academic
years.
Cheng is from San Jose, California, and majors in computer science. She works with Yisong Yue,
professor of computing and mathematical sciences, and Joel Burdick, the Richard L. and Dorothy M.
Hayman Professor of Mechanical Engineering and Bioengineering, on optimization algorithms that can
learn individual preferences based on real-time interaction with people. For example, these algorithms
can be used in wearable exoskeletons that help mobility-impaired individuals walk.
"I'm interested in how machine learning interacts with humans and, more broadly, human society," she says.
Cheng has also been working with Katie Bouman, assistant professor of computing and mathematical
sciences and electrical engineering, and Claire Ralph, lecturer in computing and mathematical sciences,
on developing algorithms that address questions of explainability and algorithms that affect social
change. The project with Ralph arose from her work creating TechReach, a Caltech class where student
teams apply their technical skills to build tools that help various nonprofit organizations. Cheng also helps
students with writing at the Hixon Writing Center. She plans to pursue a PhD in computer science, with a
focus on conducting research in machine learning.
Heath is a junior from South Pasadena, California, majoring in bioengineering. As a student at Caltech,
he has worked with Mikhail Shapiro, professor of chemical engineering, and Jerzy Szablowski, now at
Rice University, helping to develop technology to non-invasively interface with the mammalian brain
through the use of viral vectors and focused ultrasound. The goal of the research is to provide gene
therapy to the brain. Following the spread of the COVID-19 pandemic, he began working with his father
James Heath, former Caltech professor, now at Institute for Systems Biology, on a clinical study of how
human immune cells respond to the COVID-19 virus.
In his free time, Heath has performed with Szechuan Sauce, a hard-rock band formed by Caltech
students. After graduating, he plans to pursue a PhD in bioengineering or chemical engineering, with an
emphasis on using synthetic biology to fight diseases.
"I want to help develop the tools that let us beat the next pandemic before it happens," he says.
Sivakumar is from Portland, Oregon, and is majoring in mathematics. Working with former Caltech
postdoctoral scholar Zavosh Amir-Khosravi, he has been researching quaternions, which constitute a
mathematical number system like complex numbers but with the interesting property that multiplication is
not commutative.
"Quaternions show up unexpectedly in theoretical physics, but their mathematics is not well understood. I
hope that some of the work from my project will be useful in this regard," he says.
This summer, Sivakumar will be working on a SURF (Summer Undergraduate Research Fellowship)
project with John Preskill, Richard P. Feynman Professor of Theoretical Physics,
that involves quantum information systems. In his spare time, Sivakumar tutors high school students in
math and physics, and he creates classical music compositions, some of which have been performed by
national and international chamber ensembles. He plans to pursue a PhD in either mathematics or
physics.
Zlokapa is from Danville, California, and is majoring in physics. He works with Maria Spiropulu, the
Shang-Yi Ch'en Professor of Physics, on different aspects of quantum computing, ranging from
simulating wormholes to developing new quantum, machine-learning algorithms for use in high-energy
physics. As president of the Caltech Data Science Organization, Zlokapa has been helping with activities
related to the COVID-19 pandemic, such as redesigning a computer science course to include pandemic
modeling. And before the pandemic, he was an assistant concertmaster of the Caltech Orchestra and
headed an elementary school science outreach program at the Caltech Y.
"I hope to pursue a PhD and a career in research, perhaps somewhere at the intersection of quantum
computing and high-energy physics," says Zlokapa, whose research earned him Caltech's 2020 George
W. and Bernice E. Green Prize.
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