twiml.bsky.social

TWiML Career Tables, held on October 14th, was an absolute success! We brought together incredible minds to bridge the gap between academic research and industry insights, and the room's energy was truly inspiring. This memorable event wouldn’t have been possible without everyone's support.

⚙️ Our Dedicated Organizing Team: The unsung heroes behind the scenes! Thank you for your tireless efforts, flawless coordination, and hard work in keeping everything running smoothly from start to finish.

TWiML Career Tables, held on October 14th, was an absolute success! We brought together incredible minds to bridge the gap between academic research and industry insights, and the room's energy was truly inspiring. This memorable event wouldn’t have been possible without everyone's support.

We would like to express our heartfelt gratitude to: 🎙️ Our Brilliant Speakers & Mentors: Thank you for sharing your invaluable career journeys, honest insights, and expert guidance from both worlds. Your stories sparked so many meaningful conversations and left a lasting impact on everyone present.

From research idea to industrial deployment: what does a career in applied AI research look like? 🔬 Meet our fifth and final Career Tables panelist: Victoria Mangold, AI Research Scientist at ZEISS Group.

Previously, she worked at Bosch Research in Silicon Valley and Germany on embedded AI and uncertainty-aware deep learning. She holds an M.Sc. in Computer Science from the University of Stuttgart and remains active in academia through research collaborations and teaching.

From research idea to industrial deployment: what does a career in applied AI research look like? 🔬 Meet our fifth and final Career Tables panelist: Victoria Mangold, AI Research Scientist at ZEISS Group.

The TWiML Career Tables are getting closer! 👀 Meet our fourth panelist: Dr. Atalanti Mastakouri, Applied Scientist at AWS in Tübingen.

Today, she works on anomaly detection and root cause analysis, combining causal methods with large language models for large-scale monitoring systems.

The TWiML Career Tables are getting closer! 👀 Meet our fourth panelist: Dr. Atalanti Mastakouri, Applied Scientist at AWS in Tübingen.

What does it take to make AI work beyond the lab? 🤖 Our second Career Tables spotlight is Dr. Cecilia De la Parra, Research Scientist at Bosch Research, working on efficient embedded AI.

Originally from Puebla, Mexico, Cecilia came to Germany for her m.sc. at TU Dortmund, focusing on robotics and automotive applications. She later joined Bosch for her PhD research with TU Dresden on approximate computing for deep learning.

With TWiML’s Career Tables just around the corner, we’d like to introduce you to our five panelists! ✨ Today, we’re excited to introduce our first panelist, Dr. Christina Bürger, Managing Director of the Hertie Institute for AI in Brain Health (Hertie AI) at the University of Tübingen.

With a background in immunology and vascular biology, Christina transitioned from academic research into science management. Today, she works at the intersection of research, strategy, funding, and university leadership, supporting the development of Hertie AI and its researchers.

We’re excited to invite you to our next event: TWiML Career Tables – Academia meets Industry! Join us on Wednesday, October 14, 2026, for an afternoon of career insights, lunch, and conversations with five panelists from academia and industry.

📌 Save the date: Career Tables by TWiML This edition focuses on the gap between academia and industry. Join us on October 14th in Tübingen (Maria-von-Linden-Str. 1) for an afternoon of small-table conversations over lunch with people who’ve worked on both sides.

The 4th TWiML Workshop was a blast! 🚀 With more than 80 participants, we had an engaging day with four inspiring researchers who shared their insights and experiences through presentations and a lively panel discussion. A big thank you to all participants and speakers⚡

Meet our fourth speaker: Dr. Yatong Chen, a group leader in the Social Foundations of Computation Department at the Max Planck Institute for Intelligent Systems. Her work focuses on the social aspects of ML, considering human decision subjects' responses when developing algorithmic systems.

This result explains why current practice leads to unreliable leaderboards, incentivizing model providers to strategize in opaque ways. However, she proves that under mild conditions, a recently proposed evaluation protocol, "train-before-test", induces a benchmark with a unique Nash equilibrium.

Meet our fourth speaker: Dr. Yatong Chen, a group leader in the Social Foundations of Computation Department at the Max Planck Institute for Intelligent Systems. Her work focuses on the social aspects of ML, considering human decision subjects' responses when developing algorithmic systems.

Dr. Chen initiates a study of the incentive structure that benchmarks induce. She models benchmarking as a Stackelberg game in which a benchmark leaderboard designer chooses an evaluation protocol and multiple model providers compete simultaneously in a subgame determined by the designer’s choice.

Meet our fourth speaker: Dr. Yatong Chen, a group leader in the Social Foundations of Computation Department at the Max Planck Institute for Intelligent Systems. Her work focuses on the social aspects of ML, considering human decision subjects' responses when developing algorithmic systems.

The 4th workshop of TWiML features four speakers, and today, we are excited to introduce our third speaker: Dr. Alina Wernick, who leads the Law, AI, and Society Group.

Dr. Wernick will present her talk titled "The Law and Ethics of Organoid Intelligence". Organoid Intelligence (OI) uses lab-grown neural tissue for computing, enabling tasks like voice recognition and music generation with high energy efficiency.

The 4th workshop of TWiML features four speakers, and today, we are excited to introduce our third speaker: Dr. Alina Wernick, who leads the Law, AI, and Society Group.

We are delighted to introduce our next speaker: Dr. Sahar Abdelnabi, who leads the COMPASS research group at the @ellisinsttue.bsky.social, Max Planck Institute for Intelligent Systems, and @tuebingen-ai.bsky.social.

Dr. Abdelnabi introduces a framework grounded in contextual integrity to prevent oversharing, combining data minimization, structured privacy reasoning, reinforcement-learning-based norm learning, and agent communication firewalls, enabling personalized AI without leaking sensitive data.

We are delighted to introduce our next speaker: Dr. Sahar Abdelnabi, who leads the COMPASS research group at the @ellisinsttue.bsky.social, Max Planck Institute for Intelligent Systems, and @tuebingen-ai.bsky.social.

She works at the intersection of AI, security, safety, and sociopolitical aspects, focusing on identifying model risks and failures, designing robust mitigations and controls, and applying AI agents to advance science and societal good.

Get to know our 4th workshop speakers! Our first speaker is Dr. Trang-Anh Nghiem, group leader of Computational Neuropsychiatry at @hertie-ai.bsky.social. Her research aims to apply computational cognitive neuroscience, neuro-AI, and biophysics to psychiatry.

But how can models be personalized, and what can they reveal about brain function and dysfunction? In this talk, she will present recent discoveries and surprises from her team’s work on developing personalized models of brain activity for psychiatry.

Get to know our 4th workshop speakers! Our first speaker is Dr. Trang-Anh Nghiem, group leader of Computational Neuropsychiatry at @hertie-ai.bsky.social. Her research aims to apply computational cognitive neuroscience, neuro-AI, and biophysics to psychiatry.

For example, different brain regions are affected in female and male patients with autism spectrum disorder, which is more commonly diagnosed in boys than girls. This highlights the need for personalized approaches to understanding and treating such conditions.

Get to know our 4th workshop speakers! Our first speaker is Dr. Trang-Anh Nghiem, group leader of Computational Neuropsychiatry at @hertie-ai.bsky.social. Her research aims to apply computational cognitive neuroscience, neuro-AI, and biophysics to psychiatry.

Dr. Nghiem's talk at the workshop will be on "Promises and pitfalls in personalized psychiatry: (mis)adventures in modeling brain (dys)function."