Sagar Sharma

About Me

Hi, I am Sagar Sharma, a Research Engineer working on the forefront of topics such as tactile perception for robotic systems, improving robotics through novel one-shot learning approaches, applications of generative AI in robotic learning algorithms, developing SATO imitation learning approaches, and much more! Please feel free to explore my site to learn about the projects I am currently working on, as well as a selection of past projects!

I received my undergraduate degree in Biomedical Engineering from Virginia Commonwealth University (Class of 2021). My masters degree, where I specialized in Machine Learning and Robotics, was received from The George Washington University (Class of 2024). Currently, I am pursuing my Ph.D in Biomedical Engineering with a focus in Machine Learning and Robotics at The George Washington University, under the guidance of Dr. Chung Hyuk Park.

As a member of Dr. Park's Assistive Robotics and Tele-medicine lab, I am working on developing the next generation of robotic learning algorithms for humanoids. Prior to my work as a member of Dr. Park's lab, I have worked on a number of high impact projects. During my 1-year internship with Siemens Healthineers, I worked as a member of the Insights, Digitalization, and AI/ML Team, where I led R&D efforts for developing Clinical Decision Support systems. This work ranged from developing large-scale data pipelines for managing  very large datasets to developing, prototyping, and evaluating a wide range of state-of-the-art machine learning systems. Particularly, this work focused on predictive modeling, risk analysis, generative modeling, and anomaly detection. My work with Siemens ultimately led to the filing of two international patents related to Clinical Decision Support. 

In my personal life, I love learning, fitness, and spending time with my family. If I am not reading papers or at the gym, you will probably find me spending time with my 11-year old German Shepherd, Simba! 

To learn more about me or my work, please feel free to contact me either via email or through LinkedIn. You can also explore my GitHub page (linked above), where I will be actively contributing to and open-sourcing a number of projects.

Thanks for visiting!