Sukriti Ghosh is a PhD student in the Quantitative Biomedical Sciences(QBS) program at Dartmouth. Receiving her Bachelor of Science in Bioengineering from the University of Maryland and completing a minor in Neuroscience, she has conducted Bioengineering research at various institutions such as UMD, the Food and Drug Administration (FDA), and New York University’s (NYU) Tech4Health Institute(T4H) and Neural Interface Engineering Lab (NIEL). Her engineering background has allowed her to gain skills in imaging and microscopy, medical devices, and virtual reality gaming and eye-tracking. Through these diverse research endeavors, she developed an interest in data science and computational techniques as well as psychiatry and mental healthcare. At QBS, she has found the combination of these interests in the Jacobson Lab and is particularly interested in learning and contributing to the digital mental health field more through her PhD. She ultimately hopes to apply machine learning and deep learning techniques to develop solutions in preventative and diagnostic mental healthcare.

In her free time, Sukriti enjoys hiking, cooking, and reading. As a life-long dancer trained in Indian Classical Dance, she loves all styles of dance and fulfills other artistic and creative interests by painting and baking.

Sukriti’s LinkedIn profile