CV

My CV can also be downloaded here.

Core Skills

Programming:
Python, C++, R, Matlab, Mathematica, Bash, Git, SQL, Spark

Libraries:
PyTorch, Tensorflow, Pandas, scikit-learn, NumPy, Matplotlib, Stan, NumPyro

Interests:
Machine Learning, Deep Learning, Data Science, Probabilistic Programming,
Bayesian Statistics, Mathematical Modelling, Computer Vision

Education

• PhD in Epidemiology of Infectious Diseases, Imperial College London, UK, 2020-2024
• MRes in Epidemiology of Infectious Diseases, Imperial College London, UK, 2019-2020
• MSc in Applied Mathematics, University of Helsinki, Finland, 2015-2017
• BSc in Mathematics, University of Wroclaw, Poland, 2012-2015

Data Science Employment

Nov 2024 - current
Data Science at London Ambulance Service NHS Trust
ongoing, UK

June 2022 - Sept 2022
Data Science Research Intern at Securonix
3 months, remote

• Quickly got up to speed with problems occurring in cybersecurity, a field new to me.
• Overcame challenges posed by big, unstructured data sets hosted on AWS servers.
• Delivered a new Bayesian statistical model for anomalous behaviour detection, which I also wrote up as a preprint and presented at an international AI conference.
• The outcomes opened up a new direction for the team to explore in the future.

Apr 2018 - June 2019
Data Scientist at Creme Global
14 months, Ireland

• Using in-house software and bespoke algorithms, I delivered complex data analysis reports to the clients, taking a proactive approach to solving their problems.
• Took full ownership and leadership over the projects, working closely with the clients.
• Wrote project proposals and software specifications and worked with the Software Engineering team to deliver desired products to the clients.

Dec 2017 - Apr 2018
Data Scientist at LetsGetChecked
4 months, Ireland

• Performed analyses of clinical and marketing data.
• Conducted market research and suggested new services the company could offer.

June - Sept 2017
Research Scientist at VTT Technical Research Centre of Finland
4 months, Finland

• Self-learned and performed clinical data analysis, machine learning models, and medical image processing.
• Developed a machine learning model for heart attack survival prediction, collaborating with medical doctors at a hospital.

Research Employment

May 2024 - present
Postdoctoral Research Associate at Imperial College London
ongoing, UK

• Research involves working on a Deep Learning modelling for speech.
• Finetuning and running language classification models on audio files.

Jan 2021 - May 2021
Researcher in the Imperial College London COVID-19 response team
5 months, UK

• Undertook a studies break to support the research on COVID-19 pandemic in Brazil and in the UK.
• Worked under very tight timelines for deliverables as my methods were feeding into big models informing governments.
• Collaborated closely with the other members of the team to ensure timely delivery.
• Delivered data and machine learning models necessary for pandemic spread estimation.

Languages

• English: fluent
• Polish: native
• German: intermediate
• Finnish, Spanish: basic

Scholarships and Awards

London, 2019-2024 Medical Research Council Fund, Imperial College London
Funding for the 1+3 PhD training programme in Epidemiology and Control of Infectious Disease

London, 2020 Prize for Excellence in Research for outstanding achievements in MRes course

Helsinki, 2017 The Mathematics and Science Fund award for outstanding achievements in studies

Wroclaw, 2012-2015 University’s Principal Scholarship for most talented students

Wroclaw, 2012-2015 “Mathematics without borders” scholarship for most talented students

Activities

2021-2022 Co-organiser at the Earth Observation Network of Excellence of Imperial College London

Nov 2021 Python demonstrator at GirlsWhoML Machine Learning workshop

Jun-Aug 2021 Supervision of a MSc student summer research project on Computer Vision and Deep Learning

2020-2021 Personal Tutor for Postgraduate students

2019-2022 Postgraduate student representative

Nov 2019 Teaching Assistant at a Python programming workshop for medical students

Talks

See the Talks tab.

Selected Publications

See the Publications tab.