Learn Machine Learning

Winterschool for Toxinologists

Learn how to develop machine learning models, how to apply them to toxicological data, and how to interpret the results.

Registration Closed

Winterschool Details


Mo 11.12.2023 09:00am -
Fr 15.12.2023 12:00pm

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TUM Campus Garching
Boltzmannstraße 3
85748 Garching

Get to the venue

How much?

75€ excl. accommodation including lunch*

*price might be subject to change; Final price upon registration confirmation.

Where to sleep?

We recommend this place and made reservations for our participants*

*reservation valid until 16. October; afterwards we cannot guarantee a room. Code upon registration.

Who are we?

We know machine learning, we know biology.

Our research careers evolve around creating data for machine learning and employing that data predictively. We will teach you how to do the same.


Burkhard Rost

Professor for Bioinformatics

As one of the fathers of bioinformatics, Burkhard adopted machine learning early to predict various protein properties.


Ivan Koludarov

Expert in Toxin Gene Evolution and Machine Learning Practitioner

Ivan's research revolves around integrating AI into toxicology in new and innovative ways.


Luisa Jimenez-Soto

Expert in Bacterial Toxin Research

Luisa is investigating the effects and applications of bacterial toxins using data science and molecular biology techniques.


Tanja Krüger

Toxiniologist and Machine Learning Practicioner

Tanja is using Machine Learning to predict bacterial exotoxins in her research.


Tobias Olenyi

Expert on operationalizing machine learning for protein science

Tobias is researching how to make machine learning accessible for protein scientists.


Tobias Senoner

Expert machine learning for toxins

Tobias is researching machine learning approaches to study toxin structure & function evolution.

What will you learn?



Frequently Asked Questions

Who is the target audience?

The target audience for this machine learning school are toxinologists and generally biologists who are curious to learn the basics of machine learning and how to integrate machine learning into their day-to-day work.

How many people will participate?

We’re currently aiming at around 16 participants.

Will it be all buisness, no fun?

Of course we try to offer a well rounded program that also contains relaxing activities around the area.


Contact Us

If you have any questions, please do not hesitate to reach out to us.

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