I am passionate about applied AI. I am a Machine Learning Engineer and Researcher at Google DeepMind where I am working on improving the factuality and freshness of Gemini, Google's Large Language Models to ensure that users always get the most factually accurate information.
Prior to joining DeepMind, I was a researcher in the Health AI team of Google Research where I developed an launched a new dermatology experience on Google Lens, which allows users to better understand their skin conditions. Working with Fitbit, I helped to lead efforts to develop a personalized health assistant.
I am a trained computational neuroscientist. I was a Researcher at Vicarious AI studying neuroscience-inspired computer vision algorithms for object recognition and . I hold a Ph. D in Systems Neuroscience from MIT and a M. Eng. in Biomedical Engineering from Imperial College London.
My research interests lie at the intersection of Computational Neuroscience, Machine Learning and Embedded Systems. Specifically, I hope to one day develop intelligent agents that see, act and, in turn, solve real-world problems.
I am originally from Singapore. In my spare time, I am a dog-dad to Tintin the Sheepadoodle. I am a huge AFOL and am rapidly running out of display space.
Most recent publications on Google Scholar.
Reinforcement-guided learning in frontal neocortex: emerging computational concepts
Abhishek Banerjee, Rajeev V Rikhye, Adam Marblestone
Current Opinion in Behavioral Sciences 328, 2021
Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
Dileep George, Rajeev V Rikhye, Nishad Gothoskar, J Swaroop Guntupalli, Antoine Dedieu, Miguel Lázaro-Gredilla
Nature Communications 12(1), 2021
Learning cognitive maps for vicarious evaluation
RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, M Lazaro-Gredilla, D George
Cerebral Cortex 30(2) 2020
Prefrontal computation as active inference
T. Parr RV Rikhye, MM Halassa, K. Friston
Cerebral Cortex 30(2) 2020
Thalamic regulation of switching between cortical representations enables cognitive flexibility
RV Rikhye, A Gilra, MM Halassa
Nature Neuroscience 21(12) 2018
Toward an integrative theory of thalamic function
RV Rikhye, RD Wimmer, MM Halassa
Annual Reviews in Neuroscience 41 2018
Reliable sensory processing in mouse visual cortex through inhibitory interactions between Somatostatin and Parvalbumin interneurons
RV Rikhye, M Yildirim, V Breton-Provencher, M Hu, M Sur
The Journal of Neuroscience 41 (42), 2021
Jointly reduced inhibition and excitation underlies circuit-wide changes in cortical processing in Rett syndrome
A Banerjee, RV Rikhye, V Breton-Provencher, C Li, K, Li, M Sur
Proceedings of the National Academy of Sciences 113 (46) 2016
Spatial Correlations in Natural Scenes Modulate Response Reliability in Mouse Visual Cortex
RV Rikhye, M Sur
The Journal of Neuroscience 35(43) 2015
Differences Between Patient and Clinician-Taken Images: Implications for Virtual Care of Skin Conditions
RV Rikhye, et al.
Mayo Clinic Proceedings: Digital Health 2 (1), 2024
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
RV Rikhye, et al.
Lancet eBiomedicine
Personalized keyphrase detection using speaker and environment information
RV Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ding Zhao, Arun Narayanan, Ian McGraw
INTERSPEECH 2021
Multi-user VoiceFilter-Lite via attentive speaker embedding
RV Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ian McGraw
IEEE ASRU 2021
Closing the gap between single-user and multi-user voicefilter-lite
RV Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ian McGraw
IEEE ASRU 2022
Personal VAD 2.0: Optimizing personal voice activity detection for on-device speech recognition
Shaojin Ding, Rajeev Rikhye, Qiao Liang, Yanzhang He, Quan Wang, Arun Narayanan, Tom O'Malley, Ian McGraw
INTERSPEECH 2022
Conditional Conformer: Improving Speaker Modulation For Single And Multi-User Speech Enhancement
Tom O’Malley, Shaojin Ding, Arun Narayanan, Quan Wang, Rajeev Rikhye, Qiao Liang, Yanzhang He, Ian McGraw
ICASSP 2022
Full Resume in PDF.
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