Clinical Division: General AnesthesiologistTechnology Division: Chief Architect

- Over 1800 cases- 100+ calls- 45+ trauma calls- developed a BiPAP to ventilator conversion now being used in Latin America- over 20+ publications with 1000+ citations- conceived, directed, and analyzed the role of anticoagulation in early SAR-CoV-2 treatment- developed IRB protocol for deployment of machine learning products within Mount Sinai- proficient with EPIC Clarity, Caboodle- mentored numerous students, co-residents on research and startups

Commercial Activity:- Designing customized genotyping array- Developing data processing pipeline- Report generation- Mobile app development- Grant writingResearch Activity:- Systems biology to improve understanding of disease- Designing cross-species method of assaying disease- Novel machine learning algorithm to elucidate genetics

Medication adherence is a 290 billion dollar problem with no clear solutions. Post-market surveillance that is virtually non-existent. Independent pharmacies and private practices are being replaced by chain pharmacies and hospital systems respective, which both lack personalize care due to lack of technological support. We deliver free practice oriented technology solutions in order to engage patients to improve their medication adherence.- Iterated business model- Wrote business plan, constructed pitch deck, and created demo videos.- Experience in door-to-door sales- Software developer- Wrote novel NLP-SVM algorithms to predict formulary coverages from insurances that can achieve > 90% accuracy on prior authorizations.- Design MongoDB database aggregate pipelines for efficient analysis of drug-outcome relationships- Working experience in Xamarin platform (heavily modified Xamarin.Forms), nodejs, and websocket.- Familiarized with HIPAA compliance procedures both at rest and inflight- Applied (probably to be rejected) from SBIR as PI with working knowledge of ERA commons, SBA, grants.gov, and sam.govResearch:- Analyzed adipokine signal systems to explore relationships with obesity, metabolic syndrome, and lifestyle modifications.

A co-founder of a cellphone accessory brand, dedicated to solving relevant problems for everyday consumers. The goal of starting this brand was to accumulate experience and capital to further develop medical technology products.- Gave product design input and direction- Contributed to marketing efforts and branding efforts- Optimizing kickstarter campaigns- Optimizing social media distribution of product- Firmware engineer- Fullstack engineer- iOS/Android front-end developer- Experience with outsourcing- Managing team dynamics with no cash

Standard 2-3-2 training of MSTP candidates. PhD Thesis: Big Data in Systems Medicine and Systems Pharmacology: From Correlations to Clinical Predictions. Icahn School of Medicine at Mount Sinai.- developed GPU computing algorithms toward co-correlation and epistatic analysis- developed GPU algorithms applying concepts of power iteration toward network analysis and stable state modeling- developed algorithm for prediction of genes involved in drug-related side-effects from GWAS data- applied statistical methods toward discovery of beneficial drug combinations- developed algorithms for optimizing nutrition components based on disease of interest- developed algorithms to optimize cancer therapeutics and identification of potential therapeutic synergies.