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Department of Computer Science and Technology

  • PhD Student


- MPhil in Advanced Computer Science (CS Theory + ML Focus) , University of Cambridge, UK.

- BSc Computer Science (Minor in Physics), The University of Edinburgh, UK.



Overall the nature of my research is predominantly applied and experimental with a particular interest in data assimilation across the natural sciences. Here are some of the main themes I have recently been interested in learning about / exploring:

- Gaussian Processes

- Filtering in SDEs (Kalman-Bucy Filter)

- Dynamic / Entropic Optimal Transport (Schrodinger Bridges)

- Computational Bayesian Inference

- Grey Box models (Semi mechanistic modelling)

- Physics inspired machine learning

- Signal Processing

- ML approaches to formal langauge generation and verification


- Mathematics 1A, Natural Science Tripos, 2020-2021.

- Datascience, Computer Science Tripos, 2020.

- Programing Language Semantics, Computer Science Tripos, 2020

- Undergraduate Research Project, 1 student , 2020-2021

Professional Activities

- Google-X, AI Research Intern, (Future) Fall 2021

- Amazon Alexa Research, Applied Scientist Intern - 2020

- Babylon Health , Machine Learning Scientist - 2018-2019

- Computational and Biological Learning Lab, University of Cambridge, UK, Research Asistant - 2017-2018

- Blackrock, Site Reliability Engineer, 2016-2017


1. F. Vargas and R. Cotterell, Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation, EMNLP 2020.

2. F. Vargas et al, Multilingual Factor Analysis, ACL 2019.

3. F. Vargas, K. Brestnichki, and N. Hammerla, Model Comparison for Semantic Grouping, ICML 2019.

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