- Ioannis Zachos(aka Yannis)Doctoral Researcher in Computational Statistics & Machine Learning
I am a final year PhD student in Computational Statistics & Machine Learning at the Department of Engineering of the University of Cambridge supervised by Professor Mark Girolami and Professor Theodoros Damoulas. I am co-funded by Arup and EPSRC. My research focuses on eliciting individual agent dynamics from aggregate data using Markov Bases, Markov Chain Monte Carlo, and Physics-informed ML. I am passionate about developing Computational Statistics and Machine Learning models for industry-relevant Research and Development.
Education
University of Cambridge
PhD in Computational Statistics (Engineering)
11/2020 - Present
- Thesis: Probabilistic Inference in Agent-Based Models: Advancements in Population Synthesis and Simulation.
- Accepted papers at Neurips 2024 and Stat by Wiley.
University of Cambridge
MRes in Future Infrastructure and Built Environment (Distinction)
10/2019 - 11/2020
- Thesis: Stochastic modelling of urban travel demand using Metropolis Hastings and Hamiltonian Monte Carlo (79%).
- Courses: Computational Statistics and Machine Learning (83%), Research methods (79%).
University of Warwick
BSc in Data Science (1st class)
10/2015 - 07/2018
- Thesis: Bayesian online change-point detection for time series segmentation and forecasting in non-stationary point processes (79%).
- Courses: Machine Learning (73%), Mathematical Statistics (79%), Topics in Data Science (82%), Artificial Intelligence (72%).
Anatolia College
International Baccalaureate (39/45 - top 7% globally)
09/2013 - 07/2015
- Extended essay on stock price forecasting using Statistics (35/36).
- Courses: Physics (7/7), Mathematics (6/7), Business Management (6/7).
Work Experience
Cervest Ltd (now Mitiga Solutions)
Statistical Scientist09/2018 - 07/2019, London, UK
- Led the following research projects:
- Change-point detection on climate-volatile geospatial data generating processes.
- Sequential multinomial classification for assessing environmental resilience.
- Bayesian models for spatio-temporal image and sensor data fusion.
- Designed and developed data acquisition infrastructures using Python.
- Engaged with clients and investors to facilitate science communication.
- Led the following research projects:
- Change-point detection on climate-volatile geospatial data generating processes.
- Sequential multinomial classification for assessing environmental resilience.
- Bayesian models for spatio-temporal image and sensor data fusion.
- Designed and developed data acquisition infrastructures using Python.
- Engaged with clients and investors to facilitate science communication.
Eurobank Private Bank Luxembourg
Investment Advisory Intern06/2018 - 08/2018, Athens, GR
- Derived optimal portfolios using efficient frontier theory with diversification and volatility constraints using R.
- Designed, developed, and deployed a web application for portfolio management.
- Derived optimal portfolios using efficient frontier theory with diversification and volatility constraints using R.
- Designed, developed, and deployed a web application for portfolio management.
iQom Ltd (now Epsilon Net)
Data Analyst Intern08/2016 - 09/2018, Thessaloniki, GR
- Performed exploratory data analysis of customer relationship management data using R and communicated results to management.
- Modelled call arrival times using homogeneous Poisson processes.
- Performed exploratory data analysis of customer relationship management data using R and communicated results to management.
- Modelled call arrival times using homogeneous Poisson processes.