Syncretic Labs is a bespoke advisory and technology practice partnering with venture-backed deeptech, defense, and AI companies.

• Secured $1M+ (with path to $40M) Government Funding: Authored edge-AI architecture and technical plan for a defensetech solicitation, resulting in a $1M initial award with a $40M+ milestone pathway.
• Fundraising Narrative for $35M Series A: Built data room, consolidated financials (from scratch), and strategic narrative to support a $35M fundraise for a deeptech company navigating government contracting.
• Predictive Models for Material Properties: Engineered Deep Learning & ML models (PyTorch & Scikit-learn) for a materials startup to predict physical properties of products, shaping sampling and monitoring.
• Infrastructure for Global Creator Agency Operations: Led product management and software architecture for a creator agency reaching millions of fans; built internal metrics, engagement tools, and growth infrastructure.
• Reinforcement Learning Thought Leadership: Authored strategic whitepaper on applying RL to model defense strategy in the Pacific theater.
• Technical Team Leadership: Managed a 13-person team of data scientists and software engineers, balancing agile product discovery and core technology development with oversight of an AI product portfolio.
• Technical Due Diligence: Evaluated spectroscopic technology, data pipeline/ML architecture, and industry technology evolution as part of M&A due diligence for a leading circular economy company.

Stir was a venture-backed startup building financial tools for creators which has raised over $20M in venture funding from a16z, Homebrew, and other leading Silicon Valley investors.

• Guided roadmap and implementation of product functionality (Manager Access, mobile web, Invoices, international payments), helping grow payment transaction volume from <$2M/yr to >$200M/yr at its peak.
• Managed cross-functional product organization encompassing PMs, product designers, and engineers across multiple product pods.
• Engineered financial operations workflows, risk management frameworks, and banking partner integrations to process payments at institutional scale.
• Spearheaded strategic ecosystem partnerships with major creator platforms and payment networks.

Maximus is a consumer telemedicine and men’s health company which has raised $15M in venture funding from 8VC, Founders Fund, and other leading Silicon Valley investors.

• Built and launched initial telemedicine platform, electronic health record (EHR) workflows, and clinical decision support from 0-to-1.
• Collaborated with medical advisory board to translate complex clinical endocrinology protocols into compliant software workflows.
• Architected pharmacy fulfillment APIs, compounding pharmacy integrations, and nationwide laboratory testing pipelines.
• Built HIPAA-compliant telemetry pipelines tracking patient symptom resolution and therapy adherence.

Clint Health is a healthcare technology platform enabling clinical trial discovery and evidence-based medicine from electronic medical records.

• Designed and launched SaaS platform connecting clinical life sciences sponsors with health system EHR data lakes for rapid trial feasibility.
• Constructed NLP terminology parsers mapping unstructured clinical notes to SNOMED-CT, RxNorm, and ICD-10 ontologies.
• Led user discovery sessions with chief medical officers and principal investigators to refine patient cohort generation workflows.

Yik Yak was a hyper-local anonymous social network that raised $73M from Sequoia Capital and grew to millions of daily active users across global university campuses.

• Led the Growth & Analytics department responsible for product experimentation, campus activation models, user retention cohorts, and content safety.
• Constructed foundational company data warehouse and telemetry pipelines processing hundreds of millions of events daily.
• Designed automated content moderation and trust-and-safety neural classifiers reducing abuse reports by over 40%.
• Conducted predictive user lifecycle modeling guiding cross-functional product roadmap and viral loops.

1955 Capital is a venture capital firm investing in breakthrough technologies addressing developing world challenges in energy, food, agriculture, and healthcare.

• Led technical due diligence, thermodynamic modeling, and unit economics validation for deeptech and hardtech investments.
• Collaborated directly with portfolio executive teams on commercialization, cross-border technology licensing, and institutional syndicates.
• Represented firm on multiple portfolio company observer seats across advanced manufacturing and sustainable infrastructure.

DCM is an early-stage global venture capital firm managing over $4B across Silicon Valley, Beijing, and Tokyo.

• Sourced, diligenced, and executed seed, Series A, and Series B venture investments across software, consumer internet, mobile infrastructure, and connected hardware.
• Conducted in-depth techno-economic analyses across mobile ecosystem shifts, app economy dynamics, and vertical SaaS models.
• Supported portfolio executive recruiting, follow-on capital syndication, and international expansion between the US and Asia.

Bain & Company is a leading global management consulting firm.

• Performed competitive benchmarking to compare a client’s manufacturing operations with industry best-in-class.
• Analyzed technology industry profitability to identify attractive growth vectors for large tech client and highlight key differences between profit/power concentration in different verticals.
• Conducted financial and strategic diligence on wide range of potential acquisition targets (ranging in value from ~$100M to over $50B) to map out strategic acquisition options and gameboarding scenarios for a Fortune 500 technology client.
• Facilitated concept development and pilot phase of client initiative to provide operational support services for supply chain.
• Provided strategic and financial analysis to aid multiple clients in determining appropriate response to potentially disruptive trends; topics covered include cloud computing, mobile commerce, next-generation semiconductor manufacturing, cross-border eCommerce, social networking, etc.
• Devised presentation for CEO-level conversation on a process to pro-actively acquire/partner with assets which can aid client in dealing with disruptive innovations.
• Overhauled Bain toolkit for codification in book by Bain partners Mark Gottfredson and Steve Schaubert, The Breakthrough Imperative.

Roche Pharmaceuticals is a leading global pharmaceutical healthcare company.

• Validated use of Isothermal Titration Calorimeter in enzyme kinetics studies.
• Assessed factors limiting application of approach to study of Cytochrome P450 enzyme system.
• Presented findings at department seminar.

Abgenix was a biotechnology pioneer developing humanized antibody therapeutics (acquired by Amgen in 2006).

• Performed optimization studies for ELISA protocols used by Abgenix’s Process Sciences division.
• Presented findings at department seminar.

Advisory on connected IoT hardware, canine telemetry analytics, and acquisition strategy.

Computer vision infrastructure for real-time video stream analysis and public safety surveillance.

Autonomous computer vision and reinforcement learning hardware for pet behavioral training.

Generative foundation models for computational protein and enzyme molecular design.

Agentic spreadsheet automation and financial modeling co-pilots for operators.

Enterprise AI document extraction and intelligent workflow automation.

Autonomous unmanned aerial systems and decentralized swarm architecture for defense.

Low-carbon green cement chemistry and industrial decarbonization plant scale-up.

Applying deep learning and natural language processing to electronic health records (EHRs) to predict clinical progression and visual prognosis.

• Ophthalmology Science (2022): “Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing” [Paper] [PDF]
• International Journal of Medical Informatics (2022): “Looking for low vision: Predicting visual prognosis by fusing structured and free-text data from electronic health records” [DOI] [PDF]
• International Journal of Medical Informatics (2021): “Development and evaluation of novel ophthalmology domain-specific neural word embeddings to predict visual prognosis” [DOI] [PDF]
• American Glaucoma Society (2021): “Predicting Glaucoma Progression and Surgical Intervention from Clinical Notes” [Summary] [Poster PDF]
• Learning Health Systems / MCBK (2020): Clinical Low Vision Prediction from Multimodal EHRs [Poster PDF]
• Deep Learning Model: Using AI to Predict if an Ophthalmology Paper will be in a Top-Tier Journal [Summary & Code]

Completed senior honors thesis “Transcriptional Regulation of Members of the Tripartite Motif Family” examining retroviral restriction factor gene regulation in response to viral infection and interferon signaling.

Applied separation of timescales and dominant balances towards simplifying complex biological systems, analyzing mathematical constraints governing steady-state Ran GTPase concentration gradients across nuclear pores.

Researched stem cell reconstitution of murine immune systems in conjunction with antifungal agents and combinations of lymphoid and myeloid progenitor cells. Research summarized in: Arber C, et al. Journal of Infectious Diseases (2005).