Alok Singh

Alok Singh is a Deep Learning Scientist currently working at Movano Health.3 He is a highly accomplished professional with extensive experience in artificial intelligence, machine learning, and data science.

Education and Background

Alok Singh completed his Bachelor's degree in Mathematics from the University of California, Berkeley, graduating in 2017.1 His academic background has provided him with a strong foundation in analytical and quantitative skills.

Professional Experience

Throughout his career, Alok Singh has held several notable positions:

Current Role:: Deep Learning Scientist at Movano Health (since August 2023)1

• Focuses on applying deep learning techniques to health data for predicting metrics like blood pressure and sleep

Previous Positions::

• Research Resident at Redwood Research (2023)1
• Deep Learning Scientist at Lawrence Berkeley National Lab (2019-2022)1
• Machine Learning Consultant at Papert Labs (2018)1
• Recurse Center participant (2017)1

Research and Expertise

Alok Singh's research interests and expertise include:

• Reinforcement learning
• Deep learning
• Natural language processing
• Computer vision
• Climate modeling
• Electromagnetic simulation

He has contributed to several research papers and projects, including work on weather model downscaling using GANs and numerical weather model super-resolution.2

Skills and Interests

Alok is proficient in various programming languages and tools, including Python, PyTorch, Julia, and Rust.1 He has a passion for artificial general intelligence (AGI) and has been pursuing this interest for over 7 years.3

Notable Achievements

• Led a team that replaced classical climate simulation models with GANs, reducing simulation time from 4 hours to 1 second1
• Directed a $1,800,000 ARPA-E DIFFERENTIATE project1
• Created an iMessage app around ChatGPT with 10,000 users1

Alok Singh's diverse experience and expertise in deep learning and AI make him a valuable asset in the field of health technology at Movano Health.