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Education

  • 2022
    PhD in Statistics
    London School of Economics
    • Thesis Title "Bayesian inference methods for latent variable modelling"
  • 2013
    Masters in Mathematics
    Courant Institute, NYU
  • 2011
    Bachelors in Mathematics
    Imperial College London

Experience

  • 2025-present
    Data Scientist
    Biotech investment firm
    • Leading the Data Science and AI effort
  • 2017-2025
    Data Scientist
    ITE Management
    • Built the Data Science and Technology Development team
  • 2014-2017
    Research Scientist in Machine Learning
    Applied Communication Sciences / Vencore Labs
    • Created and implemented in-house machine learning algorithms for private and public sector clients
  • 2014
    Summer Intern
    Microsoft Research
  • 2013-2014
    Graduate Researcher in Cryptography
    Center for Algorithms and Interactive Scientific Software (CAISS)

Skills

Development 10+ years of experience of software development in Python, 6+ years in R, familiarity with Java, Matlab, C
Technology linux, git, Stan, sql, streamlit, Pytorch, AWS, Langchain, SQL
Mathematics and Computer Science Machine Learning/Data Science, Machine Learning, NLP, MCMC, Bayesian Inference, Algorithms (Theory and Practice), Text Analysis, Linear Algebra, Statistics
Experience NLP, Statistical Modeling and Simulation, Exploratory Data Analysis, Sentiment Analysis, Chatbots, Factor Modeling, Predictive Analytics, Data Visualization, Text Analysis, Anomaly Detection, Algorithms Implementation and Optimization, Data Scraping, Data Engineering, Software Development and Management

Selected Awards

  • 2013-2015
    Research Fellowship Award
    The Research Foundation, CUNY
  • 2006
    Bronze Medal - Science Olympiad
    European Union