Vicky Yao is an Assistant Professor of Computer Science at Rice University. She completed her Ph.D. in Computer Science at Princeton and stayed on for a postdoctoral fellowship with the Lewis-Sigler Institute for Integrative Genomics.
Todd Treangan (Ph.D. ’08, Universitat Politècnica de Catalunya) is an Assistant Professor of Computer Science at Rice University.
His Computational Microbial Forensics and Metagenomics research group focuses on interdisciplinary research anchored by Computer Science and Comparative Genomics research.
Although the prevalence of high‐throughput technologies has generated an immense wealth of raw experimental data, the biological insight available within this rich (meta)genomic data remains largely untapped. Given the challenges presented by large‐scale data analysis in computational genomics, our aim is twofold: 1) develop bioinformatics software firmly built upon efficient algorithms and heuristics, compact data structures, and machine learning techniques applied to multiple sequence alignment (both local and global), and 2) perform hypothesis-driven research enabled by recent advances in DNA sequencing technology applied to Microbial Genomics and Ecology.
Anastasios “Tasos” Kyrillidis (Ph.D. 14, EPFL) is the Noah Harding Assistant Professor of Computer Science at Rice University.
Tasos’ research interests include (but not limited to): Optimization for machine learning, Convex and non-convex algorithms and analysis, Large-scale optimization and Any problem that includes a math-driven criterion, and requires an efficient method for its solution.
Nathan Dauntenhahn (Ph.D. ’16 UIUC) is an Assistant Professor of Computer Science at Rice University.
Computing systems contain vast amounts of sensitive information, but most systems have numerous layers of abstractions, making it challenging to guarantee high-level security properties. His research identifies fundamental abstraction gaps and closes them with cross-layer solutions. He am most interested in building trustworthy systems software, where a single exploit could compromise the whole system. His research in operating system security has applied two key approaches: 1) decompose systems in ways that enhance trustworthiness and 2) harden them to attack.
Photo of Michael “Fuzzy” Mauldin by Daniel Longmire of BattleBots, Inc.
The Rice University Computer Science alumnus and inventor of Lycos only went to college to get a good job.
Michael “Fuzzy” Mauldin (Sid Rich, 1981) said, “That was my goal and my parental directive. In high school, I was good at three things: math, physics, and debate, and that suggested becoming a mathematician, a physicist, or a lawyer.
“When I got to Rice, I took CS classes and Math classes. I almost failed Calculus because I was having more fun –and was too busy– in my compiler class. At that point, I had no future agenda, I just got caught up in the idea of computers talking with humans in English, like the movie Space Odyssey: 2001 and ELIZA, the natural-language computer processing program published in 1964.”
He went on to earn his Ph.D. at Carnegie Mellon University and retired before reaching age 40, after inventing both Lycos and Julia–an early chatterbot.
These days, Mauldin spends his time ranching and exploring the wilds of Utah in his Jeep. He also designs fighting robots.
“Everything about the Internet is more complicated than when I learned it. Now I’m more concerned about speed control for my robot. Should I be considering the move from brushed to brushless motors?”
Read the rest of his Rice CS Alumni Profile: https://www.cs.rice.edu/fuzzy
For the Innovation Today and Tomorrow session on Friday, October 11, Fuzzy will be showing off TreadBot. TreadBot photographs by Michael “Fuzzy” Mauldin.
Marie Chatfield (B.A. ’15) writes code and poetry, sometimes at the same time. As a front-end engineering enthusiast, she’s currently helping Pingboard build the world’s best org chart software. She is passionate about creating inclusive experiences and understanding foundational web technologies at a deeper level.
Some of Marie’s areas of expertise include incrementally migrating legacy front-end applications from legacy to modern technologies; designing and implementing full-stack features with complex visual requirements; and building tools and infrastructure to improve developer experience and efficiency. She is also an experienced conference speaker and specializes in technical deep dives that are accessible for beginners and illuminating for experts.
Konstantinos Mamouras is currently working on the design of programming abstractions for processing data streams. Several real-time decision making applications rely on the computation of quantitative summaries of very large streams of data. He has proposed StreamQRE, a declarative query language that combines regular expressions, quantitative aggregation, and relational features. A compilation algorithm translates the high-level query into a streaming algorithm with precise guarantees for resource usage. He is also interested in program semantics and logics for program verification. In particular, this includes equational theories of programs based on the framework of Kleene Algebra with Tests.
Anshumali Shrivastava (Ph.D. ’15, Cornell) is an assistant professor of computer science, electrical and computer engineering and statistics at Rice University. He specializes in creating clever algorithmic strategies that enable faster, more scalable computations for both big data and machine-learning applications. Recently, Shrivastava was recognized as one of Science News Top 10, a prestigious annual list of top young scientists who are on their way to widespread acclaim for tackling the big questions facing science and society.
Shrivastava, who joined Rice in 2015, has repeatedly shown that creative approaches for handling big data can pay huge dividends in terms of time, energy and computational effort. In an analysis of six online social networks presented last month, he and Rice graduate student Chen Luo applied a 20-year-old internet search technique to show that chances of forming online friendships depend mainly on the number rather than the types of groups people join.
Ang Chen is an Assistant Professor of Computer Science at Rice University. His research interests include distributed systems, networking, and security. Recently, he has been working on secure forensics with network provenance, defenses against distributed denial-of-service attacks, as well as programmable networks.
Allison Heath (B.S. ’04, M.S. ’07, Ph.D. ’10) is the Director of Data Technology and Innovation at the Center for for Data Driven Discovery in Biomedicine (D3b) in The Children’s Hospital of Philadelphia. She is responsible for providing technical and collaborative leadership to build platforms for data-driven discovery that span both research and operational efforts. She is also responsible for the supervision of the research and software development team that performs basic and applied research in data intensive computing, bioinformatics, cloud computing, and related areas. Her own research is focused on computing systems and algorithms tailored for data intensive science, specifically with applications to genomics.
At the University of Chicago, she worked as the Director of Research for the Center for Data Intensive Science. Her general research interests focused on enabling large-scale scientific discovery utilizing cloud computing systems and algorithms tailored for data intensive science.
She is committed to accelerating discovery and translational research by democratizing data access and analysis.