The DeepLabCut AI Residency Mentorship Team:

  • Mackenzie Mathis

    DLC lead developer, Assistant Prof, scientist, animal lover

    website

  • Quentin Macé

    Masters student, hacker, DLC PyTorch developer🔥

  • Alexander Mathis

    DLC lead developer, Assistant Professor, comp neuro & AI

    website

  • Timokleia Kousi

    Veterinarian, Global Health, Founder of the Vet Futurist

    website

  • Steffen Schneider

    ML/CS PhD Student, Mathis Lab & Bethge Lab

    website

  • Jessy Lauer

    DLC core developer, biomechanist, postdoc

The 2023 DeepLabCut AI Residents! 💜

  • Anna Teruel-Sanchis

    Anna is a PhD student at the University of Valencia (Spain). She investigates deficits in the integration of social stimuli in hippocampus-dependent memory in a mouse model of Alzheimer's disease. Her studies use calcium imaging methods under behavioural paradigms, combined with context-associated engram detection. She is very interested in open source software, exploring innovative and affordable methods for the analysis of social behaviour. She is eager to apply these technologies out of the conviction that open source software can be a catalyst for the growth and empowerment of communities

  • Riza Rae Pineda

    Rae is a cheerful nature lover, who is taking her doctoral degree in Computer Science from Japan. She is deeply passionate about studying and developing Computer Vision techniques and applying these to solve an array of problems in animal behavior analysis. She worked on fish behavior tracking for her Master's research and is currently working on Japanese macaque tracking and behavior analysis from monocular handheld cameras for her doctoral dissertation. The main driving force in her pursuit of knowledge is, aside from her excitement for learning new things, that she is able to serve as an inspiration to young girls who are interested in science and provide the same learning experiences to them as she received from the DeepLabCut Community.

  • Konrad Danielewski

    Konrad is a final year PhD student at the Nencki Institute of Experimental Biology, PAS in Warsaw. His research involves combining electrophysiological recordings and 3D reconstruction of pose in paradigms of social transmission of information in rats. He has a keen interest in deep learning and its applications in advancing scientific progress. Passionate about open science, he actively promotes its principles and advocates for open-source tools through his work at Nencki Open Lab

Check out the 2023 AI Residents Video 💜!

2023 Speakers

We will work with and hear from world-leaders in computer vision, neuroscience, and machine learning whose work impacts education, open source projects, neuroscience, and big-data analysis.

  • Chris Holdgraf

    Chris works at the intersection of technical development, open communities, scientific research, and education. He also helps run 2i2c - the International Interactive Computing Collaboration, a non-profit dedicated to open source infrastructure for interactive computing in research and education. He works with teams to create and improve open-source technology for scientists, educators, and data analysts. My goal is to help people do their work more effectively, openly, inclusively, and reproducibly.

  • Merve Noyan

    Merve works at 🤗 in Paris! She is a Google Developer Expert on Machine Learning, a Developer Advocate at Hugging Face, and has a MSc in Data Science. Find more here: github.com/merveenoyan

  • Volkan Cevher

    Volkan is a Professor of mathematics at EPFL who is world-renown for his work on optimization, signal processing, and information theory.

  • Stéphane d'Ascoli

    Stephane is an AI4Science research fellow at EPFL. Previously, he completed a Ph.D. in deep learning, at the Center for Data Science of ENS Paris and Facebook AI Research. Prior to that, we studied Theoretical Physics at ENS Paris, and worked with NASA on black hole mergers.

  • Johannes Bohacek

    Johannes is a Professor at ETH Zurich who works on the neural basis of stress and behavior. Acutely stressful experiences trigger powerful neuroendocrine cascades that impact our entire bodies. His multidisciplinary team studies how stress affects behavior through molecular changes in the brain, and how stress can epigenetically alter germ cells and influence offspring development. 

  • Tom Caswell

    Tom is the Lead Developer of Matplotlib! Read more about his amazing work here: https://www.bnl.gov/newsroom/news.php?a=213049

💜Alumni:

The 2022 DeepLabCut AI Residents

  • Neslihan Wittek

    2022 AI Resident

    Neslihan is a postdoctoral researcher at the biopsychology department of the Ruhr University Bochum. Her studies focus on consciousness, decision-making, and self-recognition in pigeons. While doing behavioral experiments, she likes to explore innovative analysis methods in order to solve the challenges and disadvantages of manual behavioral observations.

  • Nirel Kadzo

    2022 AI Resident

    Nirel is a senior year Computer Science student. She is passionate about improving the livelihoods of Africa's rural communities, particularly those adjacent to protected areas and wildlife corridors. She seeks to explore the role of AI in driving community-led solutions and reducing conflict between people and wildlife.

  • Vic Shao-Chih Chiang 蔣紹志

    2022 AI Resident

    Vic (he/him/his) is a Taiwan-born New Zealander who aims to cultivate epistemological diversity, especially through the lens of marginalized minorities. Motivated in part by his LGBTQ2S+ identity, he studies sexual diversity with a primary focus on sexual behaviomics, collective behaviour, and the evolution of mating systems.

  • Sabrina Benas

    2022 AI Resident

    Sabina is a PhD student in the Laboratory of Physiology and Algorithms of the Brain and a teaching assistant at University of Buenos Aires (UBA). She has an undergraduate degree in Physics from UBA. She has a fascination in combining experiments and big data analysis at the intersection between machine learning and neuroscience. As a woman in STEM, we also strongly believe in targeted policies to close the gender gap.

  • Jonas Håkansson

    2022 AI Resident

    Jonas did his PhD on the aerodynamics of bat flight at Lund University and then did a postdoc at the University of Southern Denmark on the aeroacoustics of rodent communication. Now, he is researching bat flight in the context of predator prey interactions between bats and moths at the biology department of the University of Colorado, Colorado Springs (UCCS)

  • Sofía Miñano-González

    2022 AI Resident

    Sofía is a final year PhD student at the University of Oxford, investigating visual guidance in Harris' hawks, when they execute pursuit, perching and obstacle avoidance manoeuvres. She is keen on all sorts of quantitative approaches to animal behaviour. As a woman in STEM, working in a environment that is welcoming to minorities really did wonders to her learning process and this made her more conscious about the importance of representation.

Check out the 2022 AI Residents Video 💜!