Co-founder & CTO

• Directing the tech team to develop a Digital Health Precision Cardiology Platform for early diagnosis at the community level

• Established collaboration with NHS St George's Hospital, British Heart Foundation, Heart Valve Voice, and Harley Street Clinic

• Product Development; Patent Derisking & Global filing

Founder-in-Residence

• Selected from 1000+ applicants to join EF’s program to find a co-founder and build a [DeepTech] company from scratch

• HAX is the world’s first and most active pre-seed program focused on hard tech startups. HAX helps founders tap into the world’s premier ecosystems for real-world product development, manufacturing and fundraising.

Co-founder & CTO

• Directed the R&D team to develop a Neurobiomarker platform for predicting treatment response in neuropsychiatry

• Developed partnerships with European Biopharma, Imperial College London, Martijn Arns at Brainclinics, & Stephen Faraone

• Acquired access to and analyzed over 10,000 subject EEG data for normative & predictive modeling using Deep Conv-Transformers

• Developed & validated a foundational SOTA sex-prediction model (>79%) using multi- site & channel EEG

ML & DS Research Engineer Consultant

• Developed an automated preprocessing and spike sorting workflow for curation of mice electrophysiology recordings

Assistant Director of ML and DS

• Analyzing and extracting rs-fMRI whole-brain networks to compose Eloquent Cortex Mapping (ECM) for surgical planning

• Directing the R&D team to design and build an end-to-end neuroimaging pipeline for brain tumor analysis

• Building an automated end-to-end pipeline for multimodal neuroimaging analysis for presurgical planning

• Collated inputs from the product team and neurosurgeons to build efficient workflows to be used in clinical/research setting

Lead ML Engineer

• Analyzed rs-fMRI scans using DPABI, and designed & built interpretable ensemble ML models to classify within neuropsychiatric & neurodegenerative disorder

• Designed and Assembled an automated python-based rs-fMRI preprocessing pipeline for clinical research use

• Supervised a team of interns to build ML models to analyze sleep and motion pattern changes from smartphone data

• Scientific grant writing; Scientific research paper writing

Lead Teaching Assistant

• Tasked with actively guiding 8-10 students on peer coding sessions at Neuromatch Academy, a virtual summer school for Computational Neuroscience and Deep Learning
• Provide technical expertise on Group projects and technical support for 7-8 other TAs

Research Intern

Working with Dr. Sunil V Kalmady on Mathematical modeling of Individualized Survival Distribution

ML Engineer

Built and optimized an automated system for delineating Invasive ductal carcinoma from histopathology slides using CNN models