James A. B.

CTO

United States14 yrs 6 mos experience

Key Highlights

  • Expert in developing intelligent systems for health and insurance.
  • Pioneered integration of wearable data into pricing logic.
  • Led multiple successful FinTech product launches.
Stackforce AI infers this person is a Fintech and Healthcare expert specializing in data-driven decision-making and intelligent systems.

Contact

Skills

Core Skills

Large Scale SystemsStatistical ModelingData Science

Other Skills

Agent-based SimulationAgile MethodologiesAlgorithmsCC++Computational BiologyComputational ModelingComputer ScienceData AnalysisElectronic EngineeringEmbedded SystemsFinancial AnalysisLaTeXLeadershipLife Insurance

About

I build intelligent systems that turn human data, especially behavioural and biometric signals, into structured insights that real-world systems can act on. With Paceline and Polymath, that means translating wearable data into pricing logic. We’re shifting underwriting from assumption to observation, unlocking capital, and designing life insurance that reflects how people actually live -- not how they used to be modelled. Wearables aren’t just engagement tools. They’re a bridge between lived experience and institutional decision-making. My role is to make that bridge credible, explainable, and scalable. More broadly, at the intersection of insurance, health, and data, I’m focused on developing better inference systems that unify fragmented signals -- from wearables and multi-omics to EHRs and clinical data. The goal is to improve longevity, personalize care, and help institutions make decisions grounded in real-world evidence. I believe the future of health, insurance, and pharma depends on integration. Disintermediating legacy systems and building models that make sense of messy, high-dimensional data that can unlock smarter R&D, fairer risk-sharing, and improved health outcomes across society.

Experience

Paceline

Chief Technology Officer

Sep 2024Present · 1 yr 6 mos · San Francisco Bay Area · Remote

  • Your health is your wealth! At Paceline we're building a digitally-native health and wellness brand founded on materially incentivizing and rewarding people for being more active, with real (and financially material) rewards. Pretty simple really--corporate wellness comes to you and your pocket
  • Join the movement and help us spread the word!

Polymath analytics

Chief Technology Officer

Sep 2024Present · 1 yr 6 mos · San Francisco Bay Area · Remote

Large Scale SystemsStatistical ModelingLife InsuranceMulti-agent SystemsAgent-based Simulation

Caladan resarch ltd

Founder / CEO

Aug 2024Present · 1 yr 7 mos · Hong Kong, Hong Kong SAR · On-site

  • Caladan Resarch is a Hong Kong-based R&D company focused on developing new technologies to better detect, predict, diagnose and treat chronic disease grounded in Computer Science, AI and ML.
Data ScienceStatistical ModelingLarge Scale Systems

Bluemeg

Chief Technology Officer

Feb 2022Aug 2024 · 2 yrs 6 mos · Singapore, Singapore

  • BlueMeg is the world’s leading SaaS provider of entity management, process automation & corporate governance solutions.
  • Developing AI/ML technologies that rapidly accelerate time-to-market, reduce onboarding time by automating complex ETL/migrations, minimising friction in enterprise SaaS adoption.

Pecutus

Chief Technology Officer

Aug 2019Jan 2022 · 2 yrs 5 mos · Hong Kong SAR

  • FinTech organisation developing innovative products for retail and corporate users, including Visa cards, FX, digital wallets, payments and more.
  • Developed ReadyTravel, digital wallet and FX service in collaboration with flagship airline, deployed to thousands of users at Hong Kong International Airport.
  • Created multi-lateral netting algorithm for distributed peer-to-peer currency exchange network
  • Engineered FinTech solutions for MNCs and FX desks, including trading systems, account management, mobile apps
  • Launched “Theia” corporate Visa & SaaS product
  • Lead development of in-house FX trading systems
  • Scaled engineering team from infancy
  • Winner of Hong Kong OGCIO Fin Tech Award

Quantcharm ltd

Director (Consultant)

Nov 2018Jul 2019 · 8 mos · Hong Kong

  • FinTech consultancy, including: crypto/equities trading systems, quantitative analytics, market making.

Amazix

Board Member

Apr 2018Present · 7 yrs 11 mos · Hong Kong SAR

  • AmaZix is the go-to provider of community management/marketing for blockchain projects.

University of oxford

Research Fellow

May 2017Apr 2018 · 11 mos · Oxford, United Kingdom

  • Research focus in systems analysis. I developed mathematical and computational models of pathophysiology, in order to predict new ways of treating immune disease and cancer.

Sharpe

Founder / Chief Data Officer

Mar 2017Jan 2021 · 3 yrs 10 mos · Hong Kong

  • Proprietary Trading, developing algorithmic trading/market making technology for various markets. Pioneered use of Fourier and harmonic time series analysis with novel statistical methods to model and predict order book dynamics + developed high beta market making strategies in perpetual swaps, FX and BTC markets

University of california, berkeley

Visiting Research Scholar / Consultant

Jun 2016Jun 2017 · 1 yr · Berkeley, California

  • My research focussed on the development of machine/manifold learning strategies with particular focus on their relevance to large and complex clinical trial datasets.
  • Appointment was with combined with industrial position as senior data scientist (consultant) with Simomics, a UK-based consultancy that supports evidence-based decision making through modelling and simulation in the pharmaceutical industry.
  • Consulted on UK Nationwide observational study investigating Rheumatoid Arthritis (RA-MAP).

University of york

Research Scientist/PhD

Sep 2011Jun 2016 · 4 yrs 9 mos · York, UK

  • My PhD thesis developed modelling and simulation techniques based on chaos theory and neural networks to predict effective treatments for intractable diseases.
  • Developed a framework for hybridisation of models operating on vastly different time and length scales to effectively capture nanoscale molecular and cellular processes that evolve over many weeks.
  • Also developed new methods to visualise and explain these types of models to non-mathematical audiences.
  • Math - Markov Models, Agent-based Models, Stochastic PDEs, Generative Grammar, Neural Networks and Self-Organising Maps.
  • Tech - Java, Python, Mason, MATLAB, Oracle Grid Engine, Linux, Bash, etc
  • Wet Science - confocal microscopy, flow cytometry, immunohistochemistry, cell culture
  • 4 year PhD + 1 year Post-doctoral
  • Supervised by Professors Mark Coles & Jon Timmis

Hycrome

Engineering Consultant

Jun 2006Jun 2010 · 4 yrs

  • Designed and implemented various systems for managing/monitoring inventory, supply chain logistics, auditing, production and WIP financial analysis for Hycrome Aerospace.

Education

University of Oxford

Postdoctoral — Systems Immunology

Apr 2018Present

University of California, Berkeley

Computer Science

Jan 2016Jan 2017

University of York

Doctor of Philosophy (PhD) — Tissue Engineering and Regenerative Medicine

Jan 2011Jan 2015

University of Leeds

Doctoral Training Year — Tissue Engineering & Regenerative Medicine

Jan 2011Jan 2012

University of Leeds

BEng (Hons) - Bachelor of Engineering — Electronics & Nanotechnology Engineering

Jan 2008Jan 2011

University of Leeds

CertHe - Certificate of Higher Education — Nanotechnology

Jan 2007Jan 2008

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