All posts under this category.

Cutting Through the Noise: Improving Weakly Supervised Machine Learning for Practical Applications

Esteban Safranchik hopes to harness the potential of weakly supervised machine learning to impact fields beyond computer science. Now a PhD student at the University of Washington, Esteban got his start in research as an undergraduate at Brown University. His work was published at the 2020 Association for the Advancement of Artificial Intelligence (AAAI) Conference and is also used by economists and data scientists.

Goodbye Accounting, Hello High-performance Computing

Janaan Lake is living proof that it’s never too late to pursue a career in computing. After working 17 years as a Certified Public Accountant, she decided the time was right to pursue a computer science degree and enrolled at the University of Utah. “Although changing careers in midlife has been more challenging than I anticipated, it has also been more rewarding.” 

Advancing the Theory of Programmable Matter for Swarm Robotics and Multi-Agent Systems

Joseph Briones wants to help robots work together more effectively. While double majoring in Computer Science and Math at Arizona State University (ASU), Joseph has worked towards extending the theory of programmable matter for applications in swarm robotics and multi-agent robot systems. His undergraduate research revolved around the 3D Amoebot model for self-organizing particle systems, a 3D programmable matter simulator. His work also resulted in two publications to the 2018 and 2019 International Symposium on Self-Stabilizing Systems. Currently, he is a computer science PhD student at his alma mater, furthering the research he started as an undergraduate.

Reimagining Human Sensation

Christian “Chris” Hill wants to transform the way we sense the world around us. His interest in human augmentation and sensory extension research began early in his college experience. During his second semester at the University of Colorado, Boulder (CU Boulder), Chris took a new course on children’s education, human augmentation, and transhumanism taught by Mike Eisenberg, a professor in the Department of Computer Science and Institute of Cognitive Science.


Empowering Caregivers and Promoting Privacy

Zaina Aljallad, a recent University of Central Florida (UCF) alumna, researched ways to empower all users, regardless of technical background, with strategies to protect their personal data while using a multitude of apps and services. She published two papers and presented her work at ACM conferences and the National Science Foundation (NSF).


From COMP105 to Programming Languages Research in Haskell

After taking an Intro to Programming Languages class, Marilyn became interested in programming languages. Her teaching assistant participated in PL research and recruited her to their project. Over a period of two years starting in her sophomore year, Marilyn collaborated with her research advisor, who is also chair of the CS department at Tufts, Kathleen Fisher on research problems in Haskell optimization.

Overcoming Adversity and Finding a Path to Research

Diego showcases the persistence and determination of a researcher. As an immigrant from Venezuela, finding financial support and resources during his academic pursuits has been difficult given the current status of his home country. This has created uncertainty at times, but Diego has been able to persevere. He balanced his studies with a full-time machine learning developer position.