Munich Re

Lead the end-to-end development and launch of a novel EHR risk assessment product, defining its strategic vision and market position.
Manage a cross-functional team, driving innovation and meeting strategic objectives through effective collaboration and stakeholder alignment.
Provide strategic oversight, enhancing product integration and identifying growth opportunities within the broader portfolio.
Direct product's commercial trajectory, ensuring a robust, user-centric solution that significantly impacts the industry.

Director, Medical Data | EHR Product

Bunnii

Fertility is complicated. Navigating it shouldn't be.

Co-Founder & CTO

Nanowear

Headed data product strategy, development and innovation for AI-enabled diagnostics and remote patient monitoring using cloth-based nanosensors.

- Set the technical vision and strategy for data product development, commercialization, and innovation
- Represented Nanowear interests as a member of AdvaMed and advisor to the FDA on AI/ML applications in digital health 
- Oversaw end-to-end data security restructuring and compliance with HIPAA and SOC2 standards
- Led a fully remote software development team comprising in-house engineers and external contractors across mobile and web applications
- Managed infrastructure, budget allocation and hiring roadmap for the engineering and data teams

Chief Data Scientist

Fern Health

Directed the development and implementation of enterprise-grade analytics and predictive modeling infrastructure that leverages multi-dimensional clinical data to enable digital delivery of high-quality,  effective care for musculoskeletal pain.

- Managed a cross-functional team responsible for architecture, development and commercialization of the core data platform automating clinical stratification, personalization, and care customization provided by our mobile and web-based applications.
- Defined the corporate data strategy and manage the end-to-end data life cycle across the business, ensuring HIPAA compliance, governance and quality across datasets from disparate sources.

Director of Data Science

Envisagenics

Led AI/ML product development for in-silico immuno-oncology target discovery and prioritization by therapeutic modality (SpliceIO). 

- Guided the design, generation, and implementation of machine learning models that incorporate high-dimensional clinical data with whole-transcriptome sequencing to enable in-silico target discovery and prioritization by therapeutic modality for immuno-oncology drug development.
- Guided strategic development and construction of an immunology-focused IO platform, SpliceIO, that comprises the core algorithms used for antigenic splicing target discovery
- Co-authored 2 patents comprising the use of artificial intelligence to discover, prioritize and assess immunogenic potential of cancer-specific drug targets from DNA/RNAseq and scRNAseq 
- Helped secure over $1M in NIH SBIR Phase I and Phase II grants to fund SpliceIO R&D
- Oversaw a team of data scientists and engineers in the development and implementation of novel algorithms as part of our SpliceCore discovery platform, and for clients to use in their drug development pipelines
- Developed a user-friendly, interactive drug discovery frontend web application and visualization interface with fully-integrated SQL back end

Senior Data Scientist

Weill Cornell Medicine

Computationally interrogated the functional and transcriptional dynamics of adipose lymphocytes in human and murine progressive pathogenic obesity using single-cell and bulk RNAseq.

- Authored & co-authored 4 publications in top-tier journals, including Cell & Science
- Successfully obtained and annually renewed independent NIH funding for over 3 years, totalling over $200,000
- Built a full RNAseq alignment, read counting, and analysis pipeline from scratch, which is now the standard pipeline used by all Jill Roberts Institute members.
- Developed novel experimental and computational approaches to extract statistically rigorous and biologically meaningful information from longitudinal multi-dimensional datasets
- Oversaw the computational infrastructure for the Roberts Institute which supported 80 users

NRSA Postdoctoral Fellow

Columbia University in the City of New York

Developed quantitative models and dissected molecular drivers of T cell distribution, maintenance, and retention in humans and mice over life. Richard C. Parker Graduate Student Award Recipient for best dissertation (2015)

- Authored & co-authored 4 publications in top-tier journals, including Cell & Nature Reviews Immunology
- Co-authored numerous successful NIH grant applications, totaling over $5.5M over 5 years
- Developed novel experimental and computational approaches to extract statistically rigorous and clinically meaningful insights from human lymphocyte transcriptomes
- Built the first full RNAseq alignment, read counting, and differential expression analysis pipeline for use by researchers in the Columbia Center for Translational Immunology
- Oversaw training of 4 junior graduate students and 2 undergraduate students

Graduate Research Assistant

Blurring the line between medicine and technology with a dash of design sprinkled throughout

Taplio

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