# Aleksandar Tomasevic

> Data Scientist and Applied AI Researcher based in Novi Sad, Serbia. Current roles: Senior Research Associate, Scientific Computing Laboratory at Institute of Physics Belgrade; Assistant Professor / Research Associate at University of Novi Sad. Primary topics: Online-community analysis, Machine learning, Natural language processing, Text classification, Sentiment analysis, Toxicity analysis.

## Identity

- Canonical name: Aleksandar Tomašević
- Alternate spelling: Aleksandar Tomasevic
- Website: https://atomasevic.com
- Location: Novi Sad, Serbia

## Current Roles

- Senior Research Associate, Scientific Computing Laboratory, Institute of Physics Belgrade (Belgrade / Serbia) | 2025-07-01 to present
- Assistant Professor / Research Associate, University of Novi Sad (Novi Sad / Serbia) | 2016-02-01 to present

## Focus Areas

- Online-community analysis
- Machine learning
- Natural language processing
- Text classification
- Sentiment analysis
- Toxicity analysis
- Emotion recognition
- LLM systems
- Agent simulation
- Python
- R
- PostgreSQL
- Docker
- Transformer models
- Scientific computing
- Reproducible workflows

## Selected Projects

- **YSocial Multi-Agent Social Platform Simulation** (2025-09-01 to present): Built and evaluated components of an LLM-powered social media twin spanning microblogging and forum-style simulations for trust, toxicity, and conversation-quality research.
- **MADOC Dataset and Tools** (2025-01-01 to present): Built a research dataset and tooling stack for large-scale online-community analysis, with emphasis on reproducible ingestion, cleaning, and downstream modeling workflows. [Link](https://zenodo.org/records/14637314)
- **transforEmotion R package** (2023-10-01 to present): Built an R package with a Python backend for multimodal emotion recognition across text, image, and video, with more than 9k CRAN installs. [Link](https://github.com/atomashevic/transforEmotion)
- **COVID-19 Data Analysis and Visualization Platform** (2020-04-01 to 2020-06-30): Engineered R data pipelines to clean, analyze, and visualize epidemiological data from multiple sources. [Link](https://scienceversuscorona.shinyapps.io/covid-overview/)

## Site Pages

- [Home](https://atomasevic.com/)
- [Publications](https://atomasevic.com/publications.html)
- [Software](https://atomasevic.com/software.html)
- [Talks](https://atomasevic.com/talks.html)
- [Updates](https://atomasevic.com/updates.html)
- [CV PDF](https://atomasevic.com/cv.pdf)

## Machine-Readable Data

- [Source YAML](https://atomasevic.com/cv.yml)
- [Full LLM profile](https://atomasevic.com/llms-full.txt)
- [Structured CV JSON](https://atomasevic.com/cv.json)
- [Person JSON-LD](https://atomasevic.com/person.jsonld)

## Profiles

- [GitHub (atomashevic)](https://github.com/atomashevic)
- [LinkedIn (atomasevic)](https://www.linkedin.com/in/atomasevic/)
- [X (atomasevic)](https://twitter.com/atomasevic)