Advanced Research Computing at Hopkins (ARCH) is delighted to announce the recipients of the 2023 Mark O. Robbins Prize in high performance computing.
We congratulate Katharine Jenike and Dr. Katiana Kontolati for being this year's PhD award recipients.
Jenike is pursuing a PhD in Human Genetics and is advised by Michael C. Schatz. Jenike's work focuses on developing computational methods in the emerging field of pan-genomics, a branch of genomics that aims to comprehensively characterize genetic variation among large groups, both within and between species.
Kontolati recently obtained her PhD in Civil and Systems Engineering in April 2023 and was advised by Michael D. Shields. Kontolati's research broadly revolved around scientific machine learning and high-dimensional uncertainty quantification (UQ) with a focus on surrogate modeling for partial differential equations (PDE) under uncertainty.
The 2023 Mark O. Robbins Future Faculty Prize for postdoctoral fellows has been awarded to Dr. Thomas Edwards, who holds a PhD in astroparticle physics and is advised by Marc Kamionkowski. Edwards' work focuses on building new tools that use modern statistical methods and high-performance computing to improve the performance and computational efficiency of gravitational wave data analysis.
We would like to thank all nominees and their advisers who submitted their work for consideration. We also want to show our appreciation toward the faculty judges for their hard work in the award selection process.
Please join us in extending a congratulations to this year's recipients for their past contributions to the High Performance Computing community. We wish Jenike, Kontolati, and Edwards great success in all their research and professional endeavors.
About the Robbins prize: Mark O. Robbins received BA and MA degrees from Harvard University. He was a Churchill Fellow at Cambridge University, U.K., and received his PhD from the University of California, Berkeley. Dr. Robbins was a professor in the Department of Physics and Astronomy at Johns Hopkins from 1986 until his untimely death in 2020. He was a renowned condensed matter and statistical physicist who played a key role in supporting the development of computational facilities at Johns Hopkins, through his leadership for the Maryland Advanced Research Computing Center in the Institute for Data-Intensive Engineering and Science.
