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Profile Details
Hire Dr. Marko T.
United Kingdom
Freelance Statistician and Data Scientists | Expert in R and Python
Profile Summary
Subject Matter Expertise
Services
Research
Scientific and Technical Research
Consulting
Scientific and Technical Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Image Processing,
Image Analysis,
Algorithm Design-Non ML,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Text Mining & Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
Work Experience
Postdoctoral Researcher
University of Cambridge
July 2023 - Present ![]()
Group Leader/ Principal Investigator
Alan Turing Institute
October 2022 - April 2023
RAEng IC Postdoctoral research fellow
Birkbeck University of London
March 2021 - February 2023 ![]()
Visiting Lecturer
City University of London
October 2020 - December 2020 ![]()
Research Intern
Blackrock
October 2019 - March 2020
Seminar leader
Birkbeck, University of London
February 2020 - February 2020 ![]()
Researcher
Ludwig-Maximilians-Universität München
October 2016 - September 2017 ![]()
Teaching assistant for Logic and Discrete Structures
Ludwig-Maximilians-Universität München
March 2017 - August 2017 ![]()
Teaching assistant for Logic 1
Ludwig-Maximilians-Universität München
October 2016 - March 2017 ![]()
Teaching assistant for M.A. course Central Topics in Philosophy of Science
Ludwig-Maximilians-Universität München
October 2016 - March 2017 ![]()
Education
PhD
Birkbeck, University of London
October 2017 - December 2020
Ph.D. (Psychology)
Birkbeck University of London
October 2017 - December 2020 ![]()
M.A. in logic and philosophy of science (Munich Center for Mathematical Philosphy)
Ludwig-Maximilians-Universität München
- August 2016 ![]()
B.A. (Philosophy)
University of Belgrade
- July 2014 ![]()
Certifications
- Certification details not provided.
Publications
JOURNAL ARTICLE
Marko Tesic, Ulrike Hahn(2023). Argument and explanation . Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 381. (2251). The Royal Society
Marko Tesic, Ulrike Hahn(2022). Can counterfactual explanations of AI systems’ predictions skew lay users’ causal intuitions about the world? If so, can we correct for that? . Patterns. 3. (12). p. 100635. Elsevier {BV}
(2020). The propensity interpretation of probability and diagnostic split in explaining away . Cognitive Psychology.
Cruz, N., Desai, S.C., Dewitt, S., Hahn, U., Lagnado, D., Liefgreen, A., Phillips, K., Pilditch, T., Tešić, M.(2020). Widening Access to Bayesian Problem Solving . Frontiers in Psychology. 11.
Tešić, M.(2019). Confirmation and the generalized Nagel–Schaffner model of reduction: a Bayesian analysis . Synthese. 196. (3). p. 1097-1129.
BOOK CHAPTER
(2021). Explanation in AI systems . Human-Like Machine Intelligence.
CONFERENCE PAPER
Te{\v{s}}i\'c, Marko and Hahn, Ulrike(2019). Sequential diagnostic reasoning with independent causes . Proceedings of the 41th Annual Conference of the Cognitive Science Society. p. 2947--2953. Cognitive Science Society
Liefgreen, Alice and Te\v{s}i\'{c}, Marko and Lagnado, David(2018). Explaining away: Significance of priors, diagnostic reasoning, and structural complexity . Proceedings of the 40th Annual Conference of the Cognitive Science Society. p. 2047--2052. Cognitive Science Society