• Define and build AI features for core data platform product.• Engage with the data science community, existing customers and startup community to conceptualize solutions to market problems and build them into product.• Collaborate across the company on data science innovation projects, including Generative AI initiatives that span both internal- and external-facing applications and features. • Product Manager for IntegratedML, industry-first feature in InterSystems IRIS data platform: in-database “best of breed” AutoML for SQL analysts; Directed development from prototype into released product in ~6 months. • Analyze medical records to develop clinical trial eligibility tool analyzing unstructured clinical notes; Using RStudio, Spark, ctakes, ClinicalBERT. • Present work internationally, at conferences and hackathons that InterSystems sponsors

Product Management and Innovation/Partnerships for InterSystems IRIS Data Platform, specializing in Machine Learning and Artificial Intelligence capabilities.

Developing GxP NGS bioinformatics systems for rapid and accurate identification of viral and other adventitious agents.

Identify and evaluate sponsorships/partnerships, negotiate contracts with startup accelerator and incubator programs, and develop links between emerging technology and BD's business units. Prototype innovative solutions to major healthcare challenges of strategic interest to management. ● Led internal "startup" at Innovators Program accelerator, used customer and stakeholder feedback and digital media ad campaign to refine business strategy and value proposition; delivered pitch on tight 2-month deadline — see http://www.getcura.io● PULSE@MassChallenge: Facilitated pilot with BD Digital Health — integration of Healthimation "health coach" app into BD’s chronic disease management platform● BD Innovation Hub @ Singularity University projects: developed Alexa "digital nurse educator" skill to help diabetics. Deep Learning on Truven / Twitter data to predict cost outliers Identified NGS data analysis startups relevant to BD R&D oncology research team, developed partnership, devised technical plans, negotiated contracts, and served as point of contact for ongoing collaborations ● BioStars UK (Oxford): Engaged with BD Biosciences and Pharmaceutical Systems business unit representatives, served on panel discussing “product development” and mentored blockchain genomic data sharing startup ● Reviewed and took part in selecting finalist startups for IBM AlphaZone Israel, MedTech Innovator and Dreamit Health accelerators ● Attended HealthBox Studio Tel Aviv: workshops and panels with US healthcare executives and startups; Startup Nation tour● Mentor for vaccine-supply optimization startup in HealthBox Boston accelerator ● Designed Salesforce CRM-based tool to track startup and mentor interactions

Architect and implement automated workflow systems to manage, analyze and store terabytes (TB) of high throughput sequencing data, present results in the form of interactive web applications● Designed and implemented Luigi and Airflow pipelines that managed raw data from sequencers and metadata from Genologics LIMS using custom Python and R packages. Extracted sequence quality metrics (samtools, bedtools, picard), wrote metrics to Postgresql database (pandas, SQLAlchemy), and implemented interactive plots in R Shiny applications used by globally distributed team● Developed quantitative NGS assays for Ion Torrent AmpliSeq cancer and infectious disease applications, with statistical analysis in R and Python● AWS Cloud Architecture: Collaborated with IT and Global Information Security, obtained approval for and implemented genomic data analysis platform for highly confidential product development activities ● Served on cross-functional team assessing technology and market assessment of NGS personalized oncology startup: performed broad NGS tool survey, coordinated technical due diligence activities, evaluated target startup technical architecture and plans, and made acquisition recommendation to C-suite

● NGS statistical data analysis for infectious disease and oncology diagnostics applications: large-scale algorithm/platform evaluation utilizing R, Python● Driving process to use cloud resources (Amazon Web Services) for NGS data analysis: defining technical and security requirements, proof-of-concept, vendor evaluation

● Led development of qPCR (Fluidigm and SABiosciences) and flow cytometry analysis applications with R and Pipeline Pilot● Developed automated data collection system for large-scale high-content imaging using Java/JDO back-end and Pipeline Pilot, and Swing UI for managing and viewing the images, setting outliers, etc.● Prototyped, developed, and deployed graph-based tool (with Eclipse GMF) to visualize and document complex scientific workflows● Maintaining and extending internal Java laboratory data management applications: software suite manages the entire screening process including statistical experimental design, automated pipetting, and statistical data analysis● Evaluated text mining and semantic web technologies (RDF/OWL) to support bioinformatics knowledge acquisition and management -- collaborative effort between scientists and informaticians has led to successful deployment of 3rd-party tool● Technologies: Swing, JDO, Eclipse SWT/RCP, EMF/GMF, Protégé, TopBraid Composer, R, WSDL, Pipeline Pilot, BioXM knowledge management

● Developed C++ and C# back-end COM/DCOM/Remoted modules for real-time and historical financial data● Developed multi-threaded asynchronous ODBC-based software for financial calculations and data visualization

● Collaboratively researched and developed data analysis routines for psychophysical and neurophysiological experiments, including statistical time series analysis, mostly in MATLAB● Flash demos (smc.neuralcorrelate.com) Illusions / Alternating Brightness Star● Design and administer website for laboratory and scientific conference