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ML Research is My Passion
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Summary

Short Bio

I am a first year PhD student in Data Science at The University of Edinburgh and EPSRC CDT in Data Science. I have previously completed MSc(R) in Data Science (as part of my doctoral programme) and BSc (Hons) in Artificial Intelligence and Mathematics at Edinburgh with a focus on machine learning and statistics, receiving prizes for top results. I have done tech internships at Amazon, JPMorgan Chase & Co. and Metaswitch.

Research Interests

I am interested in various aspects of machine learning, including the underlying mathematical theory and applications of ML to domains such as vision or NLP. I find particularly interesting neural networks, transfer learning, meta-learning, ML safety and explainability.

Get in touch with me if you may be interested in collaborating!

News

  • 26/04-01/05/2020: Participating as a volunteer in the first virtual ICLR!
  • 09/12/2019: Delighted to participate as a team facilitator in Data Study Group organized by the Alan Turing Institute!
  • 01/11/2019: Excited to participate in Data Science Research Day and present my poster there! You can also find my poster here.
  • 19-20/10/2019: Participated in Algothon and won the second overall place for our fund management strategy.
  • 02/10/2019: Joined EdIntelligence committee to work as part of the academic outreach and help organize mini-conferences (e.g. Mini NeurIPS).
  • 16/08/2019: Submitted my MSc(R) thesis on Multi-domain meta-learning.
  • 22-25/07/2019: Participated in QuHackEd hackathon and won the first place for our project in quantum reinforcement learning.
  • 15/04/2019: Participated in the Data Open Championship, which took place in the iconic New York Stock Exchange.

Background

Education

  • Sep 2018 - Aug 2022
    PhD & MSc(R) in Data Science
    The University of Edinburgh
    Edinburgh, UK

    • Research project: Multi-Domain Meta-Learning (supervised by Dr. Tim Hospedales)
    • MSc(R) result: Distinction
    • Fully funded by a highly competitive scholarship from EPSRC
    • EdIntelligence (ML/AI society): member of the committee (since Oct 2019), responsible for academic outreach and organizing mini-conferences

  • Sep 2015 - May 2018
    BSc (Hons) Artificial Intelligence and Mathematics
    The University of Edinburgh
    Edinburgh, UK

    • Final result: First class honours (90%)
    • Awarded Howe Prize for top performance in UG4 Artificial Intelligence and Class Prize for top performance in BSc (Hons) AI and Mathematics
    • Honours project: Penalizing confident neural networks (supervised by Prof. Steve Renals)
    • Direct entry to the second year

  • Sep 2013 - May 2015
    International Baccalaureate Diploma Programme
    Gymnazium Jura Hronca
    Bratislava, Slovakia

    • Final result: 44/45
      (within the best 1% in the world)
    • Courses: Mathematics (Calculus), Computer Science (OOP), Physics, English B, Economics (all 7/7),
      Slovak A: Literature (6/7)
    • Extended essay (in Mathematics): Prime Generating Polynomials (A/A-E)

Experience

  • Oct 2018 - Current
    Teaching Support Provider
    The University of Edinburgh
    Edinburgh, UK
    Introductory Applied Machine Learning: Tutor, Lab Demonstrator and Marker
    Machine Learning Practical: Lab Demonstrator
  • Dec 2019
    Data Study Group Facilitator
    The Alan Turing Institute
    London, UK
    SenSat challenge: Semantic and Instance Segmentation of 3D Point Clouds
  • Apr 2018 - Aug 2018
    SDE Intern
    Amazon
    Edinburgh, UK
    Dynamic Advertising
  • Jun 2017 - Aug 2017
    Technology Summer Analyst
    JPMorgan Chase & Co.
    Glasgow, UK
    Corporate & Investment Bank
  • May 2016 - Aug 2016
    Software Engineering Intern
    Metaswitch
    Edinburgh, UK
  • Apr 2016
    Technology Spring Insight Programme
    Morgan Stanley
    London, UK
  • Apr 2016
    Technology Spring Week Programme
    JPMorgan Chase & Co.
    Glasgow, UK
  • Oct 2013 - Apr 2015
    Volunteer Tutor in Physics
    Gymnazium Jura Hronca
    Bratislava, Slovakia

Awards

2019

  • Oct 2019 (London, UK): 2nd Overall Winner of Algothon - financial machine learning hackathon.

    Project: Fund management strategy that utilizes various datasets, including supply chains, social media data, news data, stock market time series data and others. More details are available here.
  • Jul 2019 (Edinburgh, UK): Winner of QuHackEd - quantum computing hackathon.

    Project: Quantum reinforcement learning for OpenAI Gym Cartpole task.
  • Apr 2019 (New York City, USA): Participation at The Data Open Championship, organized by Citadel and Correlation One.

    Project: Investigation of datasets to identify key indicators of past epidemics that could be used to prevent future outbreaks of infectious diseases.
  • Mar 2019 (Edinburgh, UK): Winner of the Squarepoint challenge at Hack the Burgh.

    Project: A poker bot that is good in playing a modified version of poker that includes additional special rules. Our bot has won against bots of all other teams and is documented here.

2018

  • Nov 2018 (Dublin, Ireland): First place at The Data Open datathon, organized by Citadel and Correlation One.

    Project: Investigation of datasets to find factors leading to health improvement of New York population. A news post by Irish Tech News featuring my team is available at https://irishtechnews.ie/winners-of-dublin-data-open-announced/.
  • Jul 2018 (Edinburgh, UK): Howe Prize for top performance in UG4 Artificial Intelligence at The University of Edinburgh.
  • Jul 2018 (Edinburgh, UK): Class Prize for top performance in BSc (Hons) AI and Mathematics at The University of Edinburgh.
  • May 2018 (Edinburgh, UK): Awarded a highly competitive full scholarship from EPSRC to complete PhD & MSc(R) in Data Science at
    The University of Edinburgh.

2017

  • Oct 2017 (Edinburgh, UK): Edinburgh Award awarded by The University of Edinburgh.
  • Jul 2017 (Glasgow, UK): Glasgow winning team at Code for Good Intern Edition organized by JPMorgan Chase & Co.

    Project: Platform connecting volunteers with victims of sudden disasters in an immediate need of shelter.
  • Mar 2017 (Edinburgh, UK): Most creative idea at Law and Artificial Intelligence Hackathon (part of Festival of Creative Learning).

    Project: Intelligent online mediation platform for disputing legal issues.
  • Mar 2017 (Edinburgh, UK): Best domain name at Hack the Burgh hackathon.

    Project: Web app analyzing tweets of leading politicians in terms of sentiment and subjectivity.
  • Feb 2017 (Edinburgh, UK): Best use of a LoPy at Edinburgh IoT Challenge (part of Festival of Creative Learning).

    Project: Smart IoT route-detection technology to improve commute safety by informing car drivers about the presence of cyclists and pedestrians. A blog post by The University of Edinburgh IoT Research & Innovation Service featuring my team is available at http://iot.ed.ac.uk/2017/06/12/team-flow-invited-to-the-pycom-hackatho/.

2016

  • Aug 2016 (London, UK): Most creative project at Metaswitch Intern Hackathon.

    Project: Android app using QR codes to find servers and display information about them.
  • Mar 2016 (Edinburgh, UK): Winner of a short algorithmic competition organized by Bloomberg at Hack the Burgh hackathon.

2015 and earlier

  • Oct 2015 (Brno, Czech Republic): Natural sciences scholarship from Jan Hus Educational Foundation.

    Awarded for achieving great results during high school and demonstrating ability to think about the science from a deeper perspective.
  • 2014, 2015 (Slovakia): The 11th place and participation in the national round of the Mathematics Olympiad.
  • 2014, 2015 (Slovakia): Two participations in the national round of the Informatics Olympiad.
  • Mar 2015 (Slovakia): The 10th place in the national round of the Physics Olympiad.
  • Sep 2014 (Dresden, Germany): Participation and the 4th place in the team competition at the Middle European Mathematical Olympiad.

    The Middle European Mathematical Olympiad (MEMO) is an annual mathematical competition for high school students. Ten European countries participated in the competition in 2014.
  • 2012 - 2015 (Slovakia and Czech Republic): Achieved top places more than 10 times in team competitions in Mathematics and Physics.

Projects

A selection of projects I completed in the past - especially research projects.

Classification of Subatomic Particles

Introduction to Research in Data Science Project

Penalizing Confident Neural Networks

Undergraduate Honours Project

Classification of Drawings

Machine Learning Practical Project

Smart IoT Route Detection Technology

IoT Challenge Project

Extension of Carneades Argument Evaluation Framework

Artificial Intelligence Large Practical Project

IB Diploma Projects

High School Projects in Mathematics and Computer Science

Contact me

Send an email to ondrej.bohdal at ed.ac.uk or visit me in the Informatics Forum 4.33, 10 Crichton Street, Edinburgh, EH8 9AB, UK