# Aleksandar Tomasevic

- **Website:** <https://atomasevic.com>
- **Primary alias:** `atomasevic.com`

## Description

**Brand: Aleksandar Tomašević**

Aleksandar Tomašević is a distinguished sociologist based in Serbia, specializing in computational social science as an assistant professor at the University of Novi Sad. With a PhD earned in 2019, his expertise encompasses statistical methods, machine learning applications in social sciences, and the dynamics of cooperation and trust within online communities. Tomašević has authored a textbook titled *Statistički metodi: Praktičan pristup u R-u*, showcasing his commitment to education and research.

Recognized for his innovative contributions, he is the developer of the transforEmotion R package, utilized for multimodal sentiment analysis. His research endeavors include analyzing facial expressions in political communication and exploring network psychometrics. Tomašević's work is well-documented in various academic publications, highlighting his collaborative projects and consultancy services offered to organizations like the Council of Europe and Habitat for Humanity. Through passionate teaching and active research, he continues to influence the field of social science and data analysis.

## Industries

- 🧪 Science and Education
- 🧪 Social Sciences _(under Science and Education)_
- 🧪 Universities and Colleges _(under Science and Education)_

## Links

- [twitter](https://twitter.com/atomasevic)
- [github](https://github.com/atomashevic)

## Logos & icons

- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idBl2Vc2Gq/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1736891992540)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Oil | #1a170e | dark |
| Pavlova | #d6c398 | light |

## Fonts

-    Fira Code — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idBl2Vc2Gq/w/1500/h/500/idoG1ZDBuG.jpeg?c=1bxid64Mup7aczewSAYMX&t=1736891992427)

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_Source: <https://brandfetch.com/atomasevic.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._