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Hire Dr. Marko T.

United Kingdom

Freelance Statistician and Data Scientists | Expert in R and Python

Profile Summary

Expertise in data science and machine learning. Worked as a data science principal investigator at Alan Turning Institute London. Expertise in (Causal) Bayesian modelling, Bayesian networks. Worked on building Bayesian network models at BlackRock. Expertise in survey and experimental design and statistical analysis (PhD in psychology). AI researcher at University of Cambridge.

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Survey Design
• ☆ Study Design
• ☆ Taxonomy/Classification
• ☆ Logic
• ☆ Python
• ☆ R

Services

• Research
• Consulting
• Data & AI

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, 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