Curriculum vitae

Professional work, quantitative research, technical leadership and education. Read the overview below or download the two-page CV.

Download PDF

June 2024 — present

Co-Founder & Chief Technology Officer

Solenya · Cape Town, South Africa

Built and led a nine-person team of engineers, researchers and data scientists across AI research, product development and infrastructure.
Designed a randomised experiment spanning nearly one million sessions, estimating a 27.14% revenue-per-user uplift (90% CI: 14.0%–41.9%) for multimodal product discovery.
Built production GPU infrastructure supporting over 250 inference requests per second at peak, with automated deployment, monitoring and disaster recovery.
Led technical strategy, architecture, recruitment and supplier relationships; participated in fundraising and commercial engagements.

c. 2023 — April 2024

Senior Data Scientist

MyRunway · Cape Town, South Africa

Developed experimentation and causal-measurement practices to evaluate commercial and operational decisions.
Deployed vision-language and statistical pricing models, alongside optimisation and multi-agent simulation systems for retail operations.

January 2021 — c. 2023

Data Scientist

MyRunway · Cape Town, South Africa

Built a cloud data warehouse and analytical infrastructure supporting pricing, purchasing and stock management for more than 45 business users.

August 2019 — January 2021

Junior Data Scientist

DataProphet · Cape Town, South Africa

Delivered industrial machine-learning and digital-twin engagements for international manufacturers and equipment providers, combining model development, validation and client-facing technical work.

September 2018 — February 2019

Financial Engineering Subject Matter Expert

WorldQuant University, via Hubble Studios · Cape Town, South Africa

Developed postgraduate learning materials in financial risk modelling, simulation, machine learning and macroeconomic modelling for the MSc in Financial Engineering.

May — July 2018

Research Intern

NMRQL Research · Cape Town, South Africa

Applied natural-language models to financial risk-management problems.

Research and publications

2026Preprint; accepted for World Finance & Banking Symposium, Riga (2026)

Information Games: Strategic Crowding and Firm Repositioning in Language-Model Space

Marcus Gawronsky · Chun-Sung Huang

The question: How does competition change firms' responses to opportunity in language-model space?

arXiv

Ask AI

2026Submitted / under review

Wasserstein-Barycentric Interaction Fields for Spatial Factor Models: Evidence from Language-Model Representations

Marcus Gawronsky · Chun-Sung Huang

The question: Can distributional similarity define economically meaningful interaction fields?

Methods: Optimal transport and Wasserstein geometry · Covariance and factor structure · Language-model representations

arXiv

Ask AI

2026Submitted / under review

Portfolio Risk Bounds without Cross-Asset Return Covariances: Distributional Fields from Language-Model Representations

Marcus Gawronsky · Chun-Sung Huang

The question: Can portfolio risk be bounded without estimating every cross-asset covariance directly?

Methods: Covariance and factor structure · Language-model representations · Simulation and uncertainty · Optimisation and decisions

arXiv

Ask AI

2024Preprint; presented at World Finance Conference, Malta (2025)

Systematic Covariance Envelopes from Wasserstein Geometry: Evidence from Language-Model Representations

Marcus Gawronsky · Chun-Sung Huang

The question: How much systematic covariance can be recovered from the geometry of probability-valued representations?

Methods: Optimal transport and Wasserstein geometry · Covariance and factor structure · Language-model representations

arXiv

Ask AI

Research software and open source

Pricing Perspective — A quantitative-finance research programme connecting language-model representations, optimal transport and portfolio risk, with software for empirical tests, simulation and formal verification.
Precarious Papers — An empirical investigation of offshore entities, leaked disclosures, network structure, and market pricing, combining event studies, graph theory, and reproducible analysis.
insitu — A Python tool that keeps research documents connected to source files, queries and templates, with checks for stale content.
Hugging Face transformers — Proposed Optuna multi-objective hyperparameter optimisation support.
Hugging Face peft — Contributed a sparse-matrix token fine-tuning implementation for selectively training token embeddings.

Leadership, teaching and community

2015 — 2017

SRC Treasurer-General, Student Parliament Speaker & University Governance

University of Cape Town · Cape Town, South Africa

Served on university finance and student-funding committees, contributed to the 2016 UCT Fee Proposal, and helped raise over R2.5 million to support students facing financial exclusion.

2014

Vice-chair Debating Union

University of Cape Town · Cape Town, South Africa

Vice-chair of UCT's oldest society, with over 150 years of history. Convenor of the 150th Year Open; competed at the Oxford and Cambridge IVs.

2014 — 2015; 2019

Director/Co-convenor

World Universities Debating Championship · Cape Town, South Africa

Helped secure and deliver a championship involving approximately 950 participants. Managed more than 60 volunteers and staff, coordinating planning and fundraising. Helped secure R0.6 million in funding.

Awards

2019 — Winner, Uber Movement/SANRAL Cape Town Data Science Challenge.
2018 — Third place, Capitec BBLB Kaggle Data Science Competition.
Class Medal, Natural Resource Economics, University of Cape Town.