Rishub Jain
Rishub Jain is a Research Engineer at DeepMind in the UK. He previously worked at Carnegie Mellon University.
Jain has co-authored several research papers in the fields of machine learning and human-robot interaction. His notable works include:
- Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent ([2017]): Presented at the International Conference on Intelligent Virtual Agents (IVA).
- Creating Prosodic Synchrony for a Robot Co-Player in a Speech-Controlled Game for Children ([2017]): Won Best Technical Paper at the Human Robot Interaction (HRI) conference.
Early Life and Education
Rishab Kumar Jain is an Indian-American teen researcher, speaker, and activist. At 13, he was named America's Top Young Scientist for improving radiotherapy for pancreatic cancer patients. In 2018, he was recognised as one of TIME Magazine's 25 Most Influential Teens. He has also been featured in Forbes, Insider, and NPR, among others.
Jain has conducted research at Massachusetts General Hospital and Harvard College. His research interests include neuroscience, computational neuroscience, and artificial intelligence.
Awards and Recognition
Rishab Jain has received numerous awards and recognition for his work. In 2022, he won the Regeneron Young Scientist Distinction for improving recombinant DNA technology. He has also been recognised by the National Cancer Institute, the New York Stock Exchange, and the MIT & CEE Research Science Institute.
Publications
Jain's publications include:
- ICOR: Improving Codon Optimization with RNNs ([2023]): Published in BMC Bioinformatics.
- Spatiotemporal-Aware Glioblastoma Multiforme Tumor Growth Modeling ([2022]): Preprint published in medRxiv.
- Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis ([2022]): Published in Frontiers in Oncology.
Rishub Jain
Rishub Jain is a Research Engineer at DeepMind in the UK. He previously attended Carnegie Mellon University and worked on projects relating to machine learning and human-robot interaction.
Biography
Rishub Jain is an Indian-American teen researcher, activist, and speaker. At 13 years old, he was recognised as America's Top Young Scientist for his research on improving radiotherapy for pancreatic cancer patients. In 2018, he was named one of TIME Magazine's 25 Most Influential Teens, and in 2022, he won the Regeneron Young Scientist Distinction for his work to improve recombinant DNA technology.
Jain has delivered talks on the potential of AI solutions in pancreatic cancer treatment, and his work has been featured in TIME Magazine, Forbes, Insider, and more. He is an advocate for the ongoing AI revolution, the importance of STEM education for youth, and the promise of AI in medicine.
Notable Works
- Creating Prosodic Synchrony for a Robot Co-Player in a Speech-Controlled Game for Children (2017): Worked with a team of researchers to make a robot's speech more natural to humans. Won Best Technical Paper.
- Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent (2017): Worked with a team of researchers to develop a dialog system.
Rishub Jain
Overview
Rishub Jain is a Research Engineer at DeepMind, specialising in machine learning and artificial intelligence. Jain has also been recognised for his work in improving radiotherapy for cancer patients and his advocacy for STEM education and the use of AI in medicine.
Education
Jain attended Carnegie Mellon University.
Awards
- Best Technical Paper at the Human Robot Interaction (HRI) 2017 for "Creating Prosodic Synchrony for a Robot Co-Player in a Speech-Controlled Game for Children"
- TIME's 25 Most Influential Teens
- America's Top Young Scientist
- Regeneron Young Scientist Distinction
- National Cancer Institute: Featured Researcher
- Gloria Barron Prize for Young Heroes
- U.S. Presidential Scholar
- Coca-Cola Scholar
- National Merit Scholar
- Inducted to the National Gallery for America's Young Inventors
- Broadcom MASTERS STEM Award
Publications
- Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent (International Conference on Intelligent Virtual Agents, 2017)
- Creating Prosodic Synchrony for a Robot Co-Player in a Speech-Controlled Game for Children (Human Robot Interaction, 2017)
- ICOR: Improving Codon Optimization with RNNs (BMC Bioinformatics, 2023)
- Spatiotemporal-Aware Glioblastoma Multiforme Tumor Growth Modelling (medRxiv, 2022)
- Muscle and adipose tissue segmentations at the third cervical vertebral level (Nature Scientific Data, 2022)
- Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis (Frontiers in Oncology, 2022)
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