Our Team

Our team is comprised of Carnegie Mellon School of Computer Science students and alumni.  For many of our teammates, the platform serves as a research capstone project with the goal of developing state-of-the-art technology in a domain where autonomous driving systems are pushed to their limits. Together with Roborace, we will provide an alternative perspective on the progression of autonomous driving technology.

Team

Project Manager, Master's Student in Computational Data Science

JIMMY HERMAN

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Jimmy, a graduate student in the Master’s in Computational Data Science program at CMU, is a software engineer and the team principal. A credentialed actuary and former NFL athlete, Jimmy brings significant statistical modeling experience and a competitive spirit to the team. He is interested in building the next generation of autonomous driving agents, which have learned competitive racing strategies, and bringing them to reality.

Master's Student in Robotic Systems Development

POORVA AGRAWAL 

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Poorva was a Drive Control Engineer for the Formula Student Electric team and a software developer for the Mahindra Rise Driverless Challenge team at her undergraduate university. Poorva is passionate about developing self-driving technology and is keen on working at the intersection of robotics and autonomous mobility. 

Master's Student in Robotic Systems Development

SANIL PANDE

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Sanil's interests lie in the field of computer vision and deep learning, and the way they enable autonomy in robots. He has experience in perception for self-driving vehicles, and his goal is to continue doing impactful work in this challenging field.

Master's Student in Computational Data Science 

BOHUI FANG

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Bohui has rich research experience in areas such as reinforcement learning, game theory, and machine learning. He has previously published several papers in these fields, built a simulation platform for multi-agent taxi-dispatching tasks, and participated in programming contests. This summer, he will join TuSimple as a research intern to develop algorithms for autonomously driving trucks. 

Master's Student in Computational Data Science

JIKAI LU

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Jikai Lu has previous experience in and research publications on computer vision. He has built a vision-based SLAM system for high speed cameras. He will join Amazon as a software engineer intern this summer. Jikai is interested in vision-based autonomous vehicles.

Master's Student in the Information Networking Institute

KARTIK CHAUDHARI

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Kartik is an engineer with an interdisciplinary background. He has previous experience leading the COEP Hyperloop team in the SpaceX Hyperloop pod competition. He will be interning in a Machine Learning role at Apple this summer. His major interests revolve around improving the explainability and interpretability of stochastic systems and their applications.

Master's Student in Computational Data Science

XINNAN DU

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Xinnan has extensive industry and academic experience in software engineering, machine learning, and deep learning. He was an engineering analyst at Goldman Sachs for a year and will be joining Nvidia as a deep learning software intern this summer. Xinnan is interested in autonomous driving and using computer vision to build better autonomous vehicles.

Master's Student in Computational Data Science

ZIHANG ZHANG

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Zihang Zhang has diverse experience in software engineering and computer vision, including research in a key-frame based end-to-end SLAM system in indoor environment and internship in NetEase and Microsoft. His main research interest is SLAM involved in autonomous driving. This summer, he will join Google as a SWE intern to do a infrastructure related project.

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Master's Student in Computational Data Science

SARAL TAYAL

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Saral is an undergrad student in ECE. He is heavily involved with the Carnegie Mellon Racing FSAE team as the head of their GLV-Dev department. Here he has experience designing PCBs, writing torque-vectoring traction algorithms, and also managing the data-acquisition team. On the other-hand, Saral enjoys sharing his joy for robotics and has over a half a million combined views on his Youtube and Instructables tutorials and project blogs. Saral is interested in deepening his robotics-systems knowledge and will be working on the dynamic motion planning team.

Master's Student in Computational Data Science

ABHINAV GUPTA

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Abhinav brings professional experience in the fields of natural language processing and deep learning to the team. He is interested in applying machine learning and true artificial intelligence to the field of autonomous racing.

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Advisors

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Master's Student in Computational Data Science

Ignacio Maronna Musetti

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Ignacio brings industry experience in cloud computing and big data processing. He is passionate about systems that enable Machine Learning at scale, and will be working on enabling distributed learning of the driving agent.

Coach, Master's in Computational Data Science Alumni

ANIRUDH KOUL

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Anirudh Koul is a noted AI expert, NASA ML Lead, UN/TEDx speaker, author of the Practical Deep Learning book, and a former scientist at Microsoft AI & Research, where he founded Seeing AI, considered the most used technology among the blind community after the iPhone. With features shipped to a billion users, he brings over a decade of production-oriented applied research experience on petabyte-scale datasets. His work in the AI for Good field, which IEEE has called 'life-changing', has received awards from CES, FCC, MIT, Cannes Lions, American Council of the Blind, showcased at events by UN, World Economic Forum, White House, House of Lords, Netflix, National Geographic, and lauded by world leaders including Justin Trudeau and Theresa May.

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Coach, Master's in Computational Data Science Alumni

SIDDHA GANJU 

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Siddha Ganju, an AI researcher who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. As an AI Advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which ended up discovering a comet. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. Her work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. She has served as a featured jury member in several international tech competitions including CES. As an advocate for diversity and inclusion in technology, she speaks at schools and colleges to motivate and grow a new generation of technologies from all backgrounds. She is also the author of O'Reilly's Practical Deep Learning for Cloud, Mobile and Edge.

Coach, PhD Candidate of Carnegie Mellon's School of Computer Science

JONATHAN FRANCIS

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Jonathan Francis is a staff AI research scientist at Bosch Research & Technology Center North America and a PhD student in the School of Computer Science at Carnegie Mellon University. His research area is in the field of Multimodal Machine Learning -- with patents, publications, and fellowship awards covering such areas as: robot skill distillation in vision+language navigation, multi-agent trajectory forecasting, virtual sensing and machine health monitoring for complex systems, hybrid modeling for neural commonsense reasoning, and domain adaptation for autonomous vehicle perception systems. As a former research engineer in a major U.S. defense contractor and a research committee member for various U.S. Department of Energy programs in distributed sensing and control, Jonathan brings over a decade's worth of experience in institutional research and advanced development from public, private, and academic sectors.

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Coach, Master's in Computational Data Science Program Director

ERIC NYBERG

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Noted for his contributions to the fields of automatic text translation, information retrieval, and automatic question answering, Nyberg holds a Ph.D. from Carnegie Mellon University (1992) and a B.A. from Boston University (1983). He is a recipient of the Allen Newell Award for Research Excellence (for his contributions to the field of question answering and his work as an original developer on the Watson project) and the BU Computer Science Distinguished Alumna/Alumnus Award. Eric currently directs the Master of Computational Data Science (MCDS) program. He is also co-Founder and Chief Data Scientist at Cognistx, and serves on the Scientific Advisory Board for Fairhair.ai.

Past Contributors

CONTACT US

 

For information, media requests and sponsorship inquiries, please contact:

roborace-list [@] cs.cmu.edu

Carnegie Mellon University School of Computer Science

5000 Forbes Ave

Pittsburgh, PA 15213

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