Geoffrey C. Fox.

Gregor von Laszewski’s Web page is located at

• https://laszewski.github.io/

Jacques is an undergraduate computer science major who is a part of the Computing for Global Challenges program of the Biocomplexity Institute at the University of Virginia. His interests include leveraging artificial intelligence to analyze timeseries; he also uses high performance computing to conduct geospatial AI predictions.

Clara Grimmelbein is a student at the University of Virginia, class of 2026, pursuing a B.A. in Computer Science and a B.S. in Commerce with a minor in Italian.

Junyang (Eric) He is a student in the class of 2025 at the University of Virginia, pursuing a B.S. in Computer Science. He worked as a research intern at UVA Biocomplexity Institute in the summer of 2022 and he is currently conducting research on Deep Learning in Hydrology predictions. His research interests include machine learning, deep learning, and artificial intelligence.

Nathaniel Kimball is a student at the University of Virginia, class of 2024, pursuing a B.S. in Computer Science with a minor in Applied Mathematics. He is an incoming Global Technology Summer Analyst intern at Bank of America (2023). His interests include artificial intelligence, machine learning, MLOps, stochastic processes, and algorithmic economics.

Varun Pavuloori is an undergraduate student at the University of Virginia, class of 2025, pursuing a B.S. in Computer Science and a minor in Data Science.

Arup Sarker is a student at the University of Virginia, class of 2021, pursuing a Ph.D. in Computer Science. He is working as a research assistant at the UVA biocomplexity Institute where he currently focuses on developing an HPC framework for a distributed environment. In the past, until the middle of last year, he worked on 3D data processing based on point cloud or voxel-based motion planning and control in an autonomous vehicle, as well as security research in IoT Trust computing. Prior to this, he was a Staff Engineer at Samsung R&D Institute Bangladesh Ltd. starting from September 2011. During his tenure, he had the opportunity to work with various cutting-edge technologies that were leading the market. He made significant contributions to the development of the Android platform, particularly on Audio/Video, Frameworks, and Network protocols for transmitting data in mission-critical services, as well as Gear360 and many others. From the beginning of his time at Samsung, all of his work revolved around designing and developing embedded and distributed solutions that required data transmission over networks. Even as a feature phone developer in 2011, he was responsible for the system modules used to transmit calls and messages.

His interests include High-Performance Computing in Distributed Environments, Multi-Level Compiler optimization for parallel programming, Distributed heterogeneous AI architecture, and 3D vision for the autonomous system.

Checkout the detailed profile: https://www.arupsarker.com/

Mills W. Staylor received his BS in Business Management from Virginia Polytechnic Institute and State University (Virginia Tech). He continued his studies at George Mason University where he earned dual MS degrees in Civil, Environmental and Infrastructural Engineering and Software Engineering. After graduate school, Mills worked as a professional software engineer in both public and private sectors. Most recently, he played a pivotal role in the development of an Alexa bridge which provided access to streaming content on Alexa devices. He is currently a PhD student in Computer Science at the University of Virginia and has interests in high performance computing, visualization, and cloud computing.

Christopher Zelaya is a student at the University of Virginia, class of 2024, pursuing a B.S. in Computer Science with a minor in Data Science. He is an incoming Software Engineer Intern at Honeywell (2023) and plans to pursue a Masters in Computer Science or Data Science at UVA. His interests include Deep Learning, Algorithms, and AI.

Tianle Zhong received his B.Eng. in Computer Science and B.S. in Applied Mathematics at the University of Electronic Science and Technology of China in 2022. He is currently working for his Ph.D. in Computer Science at University of Virginia. His research interests include machine learning system and deep learning compiler, specifically about the optimization and efficiency of large model training.