Jan 2024 – Feb 2025 · 1 yr 1 mo

• Head of Data Management, Operations, and Science: Provide hands-on leadership for complete data lifecycle from ingestion through to data modeling and schema development to pipeline deployment; lead data science activities of model building, statistical inference, and causal/predictive model design and evaluation. Oversee full data warehouse modernization; oversee Cohere’s rules engine development and maintenance (over 200 models deployed).
• Head of ML and AI: Lead a team of MLEs, Applied Scientists, and Algorithmic Developers to explore, test, develop, and build end-to-end product-focused ML and AI solutions for operational efficiency, clinical improvement, and core technologies (image, language, optimization, retrieval tasks). Standup best-in-class clinician-in-the-loop framework for model evaluation; oversee transition from specialist LLM system (over 20k clinical indications) to generalist multimodal system (fewer than 300 indications). Lead design and build of AI testing/evaluation and bias reduction system.
• Head of Clinical Analytics and Automation Center of Excellence: Oversee a comprehensive clinical analysis and automation function aimed at analyzing client performance and pricing, healthcare economics and outcomes research, utilization and cost of care, and provider quality/network intelligence, in addition to consolidating an automation COE to automate both internal and external standard reporting, oversee set up a software-based client reporting portal (Cohere Insights).

Mar 2022 – Jan 2024 · 1 yr 10 mos

• Strategic planning and investment: tie R&D activities to customer value, and invest accordingly.
• Lead OP1 [Operating Plan 1] annual bottoms-up strategy and planning process. Assess last year’s outcomes; upcoming year’s planned deliverables if given no new investment; and budget needed for exponential growth. Prioritize R&D investment by outcomes alongside CEO and C-suite.
• Lead OP2 [Operating Plan 2] to drive accountability and delivery. Hold teams accountable to OKR and budgeted deliveries: re-prioritize investment and resources as needed.
• Lead organizational strategic ideation, blending cutting-edge research with customer-obsessed product focus.
• Portfolio management: interface between research and clinical (core R&D) and product to translate R&D into customer-facing product
• Develop and oversee portfolio planning and strategy by relentlessly tying resources to customer value - and zeroing out low-performing activities or investments. Tie investment to OKRs and track value by product, program, or project.
• Standup research programs in foundational areas requiring long-term R&D investment, e.g., disease prediction and progression, data access and discovery
• Support pre-investment activities internally and externally (M&A/venture)
• Represent R&D and innovation interests across Optum Labs, Optum Health, UHC, and other UHG portfolio companies
• CEO shadow: act as CEO extension within Labs and across UHG
• Lead rotation of executive leadership meetings and extended leadership meetings (CEO directs and skip-level).
• Attend executive meetings alongside CEO, write memos outlining potential strategic actions, and provide advice on healthcare and ML intersection.
• Lead programs and projects as needed, drive execution and relentless follow-up, including all-hands re-organization strategy and women in ML program.

Dec 2020 – Jan 2024 · 3 yrs 1 mo

• Foundational Research: standup foundational research program from which multiple products are instantiated across payer, provider, and patient customers.
• Act as General Manager of foundational research program around ML/AI disease prediction (initial detection of morbidity), progression (subsequent exacerbation into advanced severity levels or co-morbidities) and preventative care pathways (clinical actions to take today to prevent future escalation)
• Oversee standup, conceptualization, design, and delivery, including: inventory existing models, data sources, and evaluate best-in-class; spearhead algorithmic and clinical research to derive next-gen best practice; productize across customer use cases.
• Product Management and delivery: own end-to-end product lifecycle, from product strategy, delivery channels, partnerships, and piloting/go-to-market for products instantiated from foundational research.
• Oversee data science and engineering deliverables to deliver customer requirements on time. Deep technical expertise and mathematical modeling
• Go deep with customers to understand the what and why of their pain points and root causes - not just deliver a faster horse.
• Design and implement rich customer roadmap with global cross-functional data, TPM, research, engineering, operations, and program team

Aug 2017 – Dec 2020 · 3 yrs 4 mos

• Financial Analytics
• Oversee $43M medical cost improvement in clinical and network areas
• Medical economics: monitor and forecast revenue (MA, Medicaid, Tricare, Commercial); cost (unit, PMPM); utilization (benchmark v. trend); unit cost (external v. internal trending)
• Economic Analysis: >$1M and/or pertaining to 2 or more lines of business
• Reimbursement (payor/provider) modeling: value-based arrangements, capitation, ACA savings and risk, product and contract pricing. Drive healthcare market mechanisms, payer and provider trends, health policy, medical technology, and reimbursement trend strategy and analysis.
• Data Science
• Data architecture, integrity, governance
• Data Modeling: model selection, feature engineering
• Product development: apps, dashboards, other deliverables
• Subject matter: readmissions, length of inpatient stay, patient profitability, ED utilization, care management impactibility and ROI
• Disease prevalence and progression; early warning of clinical aggravation and predicting escalation pathways over time
• reinforcement modeling of best practice clinical care procedures, based on outcomes and quality metrics
• Clinical Analytics
• Program evaluation: care management, vendor oversight, support MA bid analytics
• Cost/utilization modeling in precision medicine/individualized health

Jun 2017 – Dec 2018 · 1 yr 6 mos · New York City

Sep 2013 – Mar 2018 · 4 yrs 6 mos · New Haven

• Financial Analysis: conduct financial modeling for department of surgery; build financial monitoring and tracking dashboards (revenue, cost, productivity, geographic differentiation, and clinical service line detail)
• Clinical analytics: evaluate program and business lines for expansion, investment, and disinvestment
• Investments: model merger and acquisition prospects, forecast performance against historical averages using assumption-based probabilistic forecasting methods (Monte Carlo simulations)