Surbhi Sharma, PhD

Surbhi was a postdoctoral scholar in the Department of Bioengineering at the University of Washington. Her passion for math and science is a direct result of the rich academic environment fostered by her parents, who collectively share a background in teaching STEM-related subjects. Following this passion, she traversed the path of a PhD where she applied advanced mathematical techniques to unravel biological secrets. She pursued her PhD from the Indian Institute of Technology under the supervision of Dr. Kishalay Mitra where she worked on several interesting projects funded by the Government of India.

Throughout her diverse projects, Surbhi learned and employed different computational techniques, including mathematical modeling, optimization, and machine learning, to address critical biological challenges. She has published several research articles supporting her novel findings. During her PhD research, Surbhi developed a profound interest and fascination for machine learning. Utilizing such techniques for the betterment of humankind, such as improving clinical diagnosis and healthcare, is one of her biggest motivations.

In the CardSS lab, Surbhi led two projects, one focused on leveraging ML to identify the risk of Cardiomyopathy in childhood cancer survivors, the other focused on developing ML techniques for identifying risk factors leading to sudden cardiac arrest in a general population.

During her free time, Surbhi enjoys doing Yoga, reading non-fiction, and exploring the beautiful PNW outdoors with her husband.

Education:

PhD: Chemical Engineering, Indian Institute of Technology
MTech: Chemical Engineering, Indian Institute of Technology
BTech: Chemical Engineering, Malaviya National Institute of Technology