Dr. Amir Sani

Academic Background

Dr. Amir Sani

Academic Background

Dr. Amir Sani completed his PhD in Machine Learning for Decision Making Under Uncertainty under the supervision of Rémi Munos and Alessandro Lazaric as part of the SequeL team at INRIA-Lille Nord Europe.

Research Fellowships

Publications

Selected Talks

June 30th, 2018

Agent-Based Model Calibration, Workshop on Economics with Heterogeneous Interacting Agents, Tokyo, Japan

June 19th, 2018

Agent-Based Model Calibration, Invited Session on "Validation of Agent-Based Models", Computing in Economics and Finance, Milan, Italy

May 31st, 2018

Agent-Based Model Calibration using Machine Learning Surrogates, CFM-Imperial ENS Workshop on Machine Learning and Quantitative Finance 2018, London, England

Workshop Papers/Posters

  • Inferring Complex Networks of Influence: Understanding Green Investment Tipping Points, with Antoine Mandel, NIPS Workshop on Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems, 2016
  • Macroeconomic Agent Based Model Calibration using Iterated Surrogates, with Francesco Lamperti, Antoine Mandel and Andrea Roventini, NIPS Workshop on Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems, 2016
  • Information Theoretic Bootstrapping for Dependent Time Series, with Alessandro Lazaric and Daniil Ryabko, NIPS Workshop on Modern Nonparametric Methods in Machine Learning, 2013

Notable Events

June 24-26, 2019: Co-Organiser, WEHIA 2019 Roundtables

Academic Visits

February 2017: Einaudi Institute for Economics and Finance, Rome, Italy

February-September 2017: CFM-Imperial Institute of Quantitative Finance, London, United Kingdom

September 25-30, 2016: Institute of Economics - Scuola Superiore Sant'Anna, Pisa, Italy

September 16, 2016: Alan Turing Institute, London, England

April 17-24, 2016: Institute of Economics - Scuola Superiore Sant'Anna, Pisa, Italy

February 5, 2016: Center for Data Science Paris-Saclay, Saclay, France

Teaching Experience

February-March, 2017: Statistics and Business Analytics, MBA Program, HEC Paris

Professional Experience

AdapData

Consultant - AI | Process Automation
February 2024 - Present

  • Specialized consulting focused on alternative data generation, signalling, and commercial value creation.
  • Provide deep expertise in machine learning, complex systems modeling, and quantitative finance.
  • Architect, deliver and maintain bespoke signaling systems for value creation as APIs.

Scuola Superiore Sant'Anna

Professional Affiliate
September 2022 - Present

External Research Fellow
October 2017 - September 2022

Research Fellow
June 2017 - October 2017

  • Conducted research on agent-based model calibration using Machine Learning Surrogates.
  • Focused on quantitative decision-making in macroeconomic modeling, complex systems, network modeling, and ESG impact assessment.

Techstars

Senior Vice President of Fund & Investment Analytics
September 2022 - February 2024

  • Leveraged quantitative decision-making techniques and AI-driven analytics for fund follow-on and exit management strategy.
  • Implemented data-driven processes to enhance investment thesis development, portfolio management, and value creation initiatives.
  • Advised on data-driven initiatives and "alpha" generation across business lines.

EY

Partner
July 2022 - August 2022

Associate Partner
March 2022 - June 2022

  • Architected a UK-wide private equity intelligence platform built on alternative and proprietary data sources.
  • Leveraged language modeling, NLP, and advanced data processing techniques for operational efficiency and strategic insights.

13books Capital

Chief Technology Officer
January 2020 - November 2021

  • Developed and deployed machine learning models for sourcing, screening, benchmarking, and tracking fintech startups.
  • Implemented data aggregation/cleaning/engineering ETL based on licensed and alternative sources.
  • Designed recommender systems and conducted investor fund flow analysis and network modeling.

Education

  • INRIA & University of Lille 1
    Doctor of Philosophy (Ph.D.), Machine Learning (2011 - 2015)
  • University College London, U. of London
    MSc, Machine Learning (2010 - 2011)
  • The Australian National University
    MSc, Information Technology (2009 - 2010)
  • University of San Diego School of Law
    Certificate, Law (2005)
  • University of California, San Diego
    BA, Philosophy (1997 - 2001)

Contact Information

London, England

[email protected]

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