My journey has taken me through academic institutions, large-scale companies, and early-stage startups. Eight years at the intersection of AI and health.
Can we give surgeons AI-powered performance feedback?
I was a research scientist (faculty track) at Cedars Sinai, where I wrote the AI strategy for a successful $4M NIH R01 grant focused on developing video-based AI models to provide surgeons with performance feedback.
Can we create surgical perception models?
As a senior machine learning engineer, I was responsible for developing and deploying perception models for surgical robots. This included segmenting critical structures and estimating the depth of soft tissue from surgical videos.
Can we quantify surgery from videos?
As a postdoctoral scholar, I developed deep learning models to identify surgical activity from videos. This research landed on the cover of Nature Biomedical Engineering.
Can we infer missing clinical variables?
As an intern at Flatiron Health, I designed a natural language processing system that infers a clinical variable from oncology patient visits. Our work was published in Nature Communications.
Can we teach algorithms to do 'more with less'?
Throughout my PhD, I focused on designing clinical deep learning algorithms that are less dependent on data, labels, and medical supervision. This involved leveraging generative modelling, self-supervised learning, and continual learning.
Can we delineate cardiac structures?
I was fortunate to work alongside Antong Chen where I designed a meta-learning framework to delineate the structures of the heart in a data-efficient manner. Our work was published in MICCAI 2021.
Can we streamline cardiac catheterization?
In the summer of 2019, I had the pleasure of working with Kenneth Fetterly and Zachi Attia within the Department of Cardiovascular Medicine at the Mayo Clinic where I implemented self-supervised algorithms for coronary angiograms.
Can we predict which vehicles will malfunction?
In the summer of 2017, I interned at the Machine Learning Center of Excellence at Ford Motor Company, under the supervision of Kurt Godden and K.P. Unnikrishnan, where I used diagnostic trouble codes from vehicles to predict whether such vehicles will malfunction in the near future.
Can we design more comfortable prosthetic devices?
In the summer of 2016, I performed research at the Musculoskeletal Lab at Imperial College London, under the supervision of Alison McGregor, to identify how pressure is distributed within lower-limb prosthetic cuffs worn by amputee patients.
Can we design more robust upper-limb prosthetic devices?
During my undergraduate studies, I conducted research at the Neuroengineering Lab at Johns Hopkins to design and manufacture an upper-limb prosthetic device for data collection purposes. I also led a team of engineers in the design of a surgical device that repositions patients during time-sensitive intra-operative complications. You can find an article on that here.