Hello I'm

Alishba Imran

More About Me





Machine learning, robotics developer & researcher.




My Image

I work at the intersection of machine learning & robotics to solve problems in the computational material science/chem space for automation, batteries, and energy broadly.

I am the co-author of "Machine Learning for Robotics", a book getting published by O'Reilly.

Alongside conducting machine learning research at Berkeley AI Research Lab (BAIR), I’m working with Dr. Matthew Murbach and Dr. Yanbo Qi at Tesla on computational chemistry, physics models and ML methods for battery materials discovery.

About Me
  • I started coding when I was just 14 years old. This led me to co-found HonestBlocks (collaboration with IBM Blockchain), an enterprise platform that aimed to put an end to counterfeit medication in developing countries.
  • Alongside this, I've led ML research at SJSU/the BLINC lab to reduce the cost of prosthetics from $10,000 to $700, through a novel generative grasping algorithm and 3D printed material. I applied my findings by co-leading research at Hanson Robotics (the company which created Sophia The Robot, the world's most intelligent robot). Here I worked under PhD David Hanson and focused on manipulation, neuro-symbolic AI research, and developing an open-source lower cost hardware platform for Sophia the Robot.
  • Most recently, I was the founder of Voltx, a venture backed startup focused on optimizing and accelerating the development of electrochemical devices from lab to market. We leveraged machine learning models and physics models to accelerate R&D and production time for battery manufacturers and OEMs. I helped manage pilots and booked revenue of a couple thousand with manufacturers & OEMs of batteries/supercapacitors to test the product & reduce their testing time by 80%+. Voltx also raised a pre-seed round of $1 million+.
  • After working on my company, I joined the AI research team at Cruise. I was also working with the Vector Institute under Dr. Animesh Garg and NVIDIA AI on RL-based simulations for deformable objects.
  • My work has been featured on Forbes, Financial Post, and Yahoo Finance. I've also spoken to over 40,000 people at some of the largest tech conferences about my research and projects. I was also recently named Teen Vogue's 21 under 21 and Top 100 Most Powerful Women in Canada. My research interests include applied reinforcement/imitation learning in autonomous systems, LLMs, & geometric DL for materials applications. Happy to connect: alishbaimran@berkeley.edu or @alishbaimran_ (Twitter)




Featured Research

Artificial Intelligence

Voltx: Accelerated Testing Software

I'm the co-founder and developer of Voltx, a machine learning software that can reduce testing time of supercapacitors and batteries from 3 months to 3 days.

Robotics

Research Paper: A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robot

I'm a developer at Hanson Robotics, where I'm helping them develop a toolkit for the Sophia 2020 platform. I'm developing a novel hand design and RL/Vision based approachs to improve hand manipulation.

Robotics

Neurips: GVF and GG-CNN Control System for Prosthetics

I recently presented a poster at Neurips in collaboration with WiML about my work with San Jose State University using GVF and GG-CNN to improve prosthetic hand control for grasping and multi-joint control.

View Full Portfolio

Featured Projects

Artificial Intelligence

Voltx: Accelerated Testing Software

I'm the co-founder and developer of Voltx, a machine learning software that can reduce testing time of supercapacitors and batteries from 3 months to 3 days.

Robotics

Research Paper: A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robot

I'm a developer at Hanson Robotics, where I'm helping them develop a toolkit for the Sophia 2020 platform. I'm developing a novel hand design and RL/Vision based approachs to improve hand manipulation.

Robotics

Neurips: GVF and GG-CNN Control System for Prosthetics

I recently presented a poster at Neurips in collaboration with WiML about my work with San Jose State University using GVF and GG-CNN to improve prosthetic hand control for grasping and multi-joint control.

View Full Portfolio