Founder, Data Lab 42

Ana
Radulović

PhD in Biostatistics  ·  Mathematician  ·  AI Researcher

Multidisciplinary researcher with 9+ years transforming complex data into policy-relevant decisions in public health, finance, and AI. Specialised in statistical modelling and explainable AI. Currently building STATCORE — a Bayesian AI framework for probabilistic verification, submitted to OxML 2026.

9+
Years exp.
3
Publications
60+
Countries
2
COST Actions
Ana Radulović, PhD — Founder of Data Lab 42
The Philosophy 42
The Ultimate Answer
"The Answer to the Ultimate Question of Life,
the Universe, and Everything is 42."
— Deep Thought, after 7.5 million years of computation
Don't Panic.

The answer exists. We just need to find the right question.

The Question Matters More Than the Answer

Deep Thought gave us 42 — but no one knew what question to ask. In data science, the same trap exists: beautiful models, wrong question. I build solutions that start from the question, not the output.

Curiosity as a Method

Douglas Adams wrote about a universe full of improbable things that turn out to be completely logical. That's exactly what data does — it surprises you, then reveals a hidden pattern. That tension is what I love about this work.

Don't Panic — Just Bring the Data

Complex problems feel overwhelming until you have the right framework. Whether it's a public health crisis, a business decision, or an AI model that needs to explain itself — clarity comes from rigorous, honest data work.

Why I Named It Data Lab 42

Because I genuinely believe that behind every difficult question — in health, in business, in science — the answer is already hiding in the data. You just need someone patient enough, curious enough, and rigorous enough to find it.

Core Expertise

Where Mathematics
Meets Real Impact

Biostatistics & Epidemiology

9+ years designing studies, building surveillance systems, and authoring statistical reports for public health institutions and international organisations.

R SPSS EpiInfo Segmented Regression MCMC

Machine Learning & Explainable AI

Building interpretable AI frameworks that translate black-box models into decision-maker-ready insights. Developing STATCORE — submitted to OxML 2026.

Python Bayesian AI XAI Lead Scoring STATCORE

Data Engineering & Business Intelligence

End-to-end data pipelines, SQL optimisation, and BI reporting. From raw data to decisions that stick.

SQL Server Oracle Python Docker Git

Public Health Intelligence

WHO Working Group member. Contributed to infectious disease surveillance, COVID-19 diagnostics (award from Ministry of Science), and mental health data frameworks.

WHO IBBS Infectious Disease One Health

Education & Statistical Consulting

Designing and delivering tailored programs in statistics and data science — from individual mentoring to institutional workshops.

Statistics 101 Medical Stats Workshops Mentoring

Financial & Business Analytics

MBA with Finance specialisation. Published research on monetary policy and housing markets. Quantitative rigour applied to business strategy.

MBA Finance Green Finance Business Intelligence
Career

Experience

2025 — Present
Founder & Lead Data Scientist Active
Data Lab 42 · Podgorica, Montenegro
Statistical consulting, data analysis, and educational content. Building STATCORE — a Bayesian probabilistic verification and explainable lead scoring framework. Submitted to OxML 2026.
2016 — Present
Statistician Active
Institute of Public Health of Montenegro · Podgorica
Study design, data collection instruments, database management, and statistical programming. Analysis and reporting for national public health surveillance programmes. WHO collaborator for mental health data indicators.
2013 — 2014
Software Engineer — Billing Department
EPCG · Nikšić, Montenegro
System review and QA for the EDIS billing application. SQL Reporting Services development, software testing, and client consultations.
2006 — 2007
Programmer / Developer Trainee
EAFIT University · Medellín, Colombia
Research and development of an e-learning platform. International research experience bridging software engineering and education technology.
Academic Background

Education

2018 — 2025
PhD in Biostatistics
University of Ljubljana, Slovenia
Thesis: Determining the Number of Change Points in Segmented Regression
2011 — 2012
Master of Business Administration
Cardiff Metropolitan University, United Kingdom
Advanced Management — Finance specialisation.
1999 — 2006
BSc Mathematics & Computer Science
University of Montenegro
Mathematics, Applied Mathematics, OOP, and Database systems.
Research

Selected Publications

Secular trends in physical fitness of Slovenian boys and girls aged 7 to 15 years from 1989 to 2019: a population-based study
Scientific Reports (Nature) · 12, 10495 · 2022 Nature
doi:10.1038/s41598-022-14813-7
Differences in clinical characteristics of severe acute respiratory infections caused by influenza virus in Montenegro 2014–2019
Infection Prevention & Control / IJID · 101(S1) · 2021
doi:10.1016/j.ijid.2020.09.827
The impact of state-subsidised interest rates on new home loans: Lessons from Montenegro
Bančni vestnik · Revija za denarništvo in bančništvo · 74(6) · 2025
In press
Recognition & Involvement

Selected Highlights

OxML 2026 — Oxford Machine Learning
STATCORE framework submitted to the Oxford Machine Learning Summer School 2026. Bayesian probabilistic verification for explainable AI.
WHO Working Group — Mental Health Data
Participant in the first WHO Working Group meeting on mental health data indicators, Copenhagen, Denmark, December 2022.
Ministry of Science Award — HUMANIMA Project
Contributed to COVID-19 diagnostics research in humans and animals using a One Health approach. Project awarded by the Ministry of Science of Montenegro.
COST Actions — EU Research Networks
Active member: CA24107 Patient Safety Outcomes in ICUs (2025–2029) and CA22116 Health Inequalities 1800–2022 (2023–2027).
Summer Institute — University of Washington
Modeling for Infectious Diseases programme, Seattle WA, 2023. MCMC methods and mathematical models of disease transmission.
International Conference Presenter
Presented "Identifying change points in segmented regression models" at the 18th International Conference on Applied Statistics, Ljubljana, September 2022.

Global Perspective

Lived and worked in 4 countries. Collaborated across Europe, the Americas, and beyond. 60+ countries visited.

Montenegro Slovenia United Kingdom Colombia Portugal Denmark Romania Albania USA +51 more

Let's work
together.

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