About Me
I am actively looking for Data Science and Machine Learning roles in Data Science and Computer Vision. I aim to explore Data Science, ML, and AI roles in the industrial sector or a corresponding research position.
Previously, I worked as a Research Scientist in the Learning in Early Childhood group at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. There, I led the design of end-to-end pipelines for processing Neuroimaging data, merging technical expertise with insights into human cognitive development.
I hold a B.Sc. (Hons) in Physics (2018) and an M.Sc. in Life Science Informatics (2020). My transition from Physics to Life Science Informatics reflects my passion for exploring complex and unconstrained systems, such as the human brain.
Beyond academics, I thrive on connecting with people and gaining fresh perspectives. In my free time, I enjoy reading popular science literature and expressing myself through dance. Currently, I am also exploring AI applications for the industry.
The first project that got me interested in Artificial Intelligence and Neuroscience: Alphago, where DeepMind’s algorithm defeated Lee Sedol.
- 🌱 I’m currently learning advanced Computer Science, ML and Bioinformatics!
- 👯 I’m looking to collaborate on open-source projects.
- 💬 Ask me about Python, Data Science, Machine Learning, and Cognitive Science.
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📫 How to reach me: LinkedIn Email Twitter Personal Email
Activity
Here are some stats related to my recent activity on GitHub:
🌟 Highlights
✨ Fun Fact: I love watching action movies and programming in my free time.
Activities and Highlights
VMV 2025
I attended VMV 2025 as a helper and organizer at FAU Erlangen-Nürnberg.
UniReps 2025 Reviewer
I will be serving as reviewer for UniReps 2025 conference.
M2L Summer School, Croatia
I will be attending the M2L Summer School in Croatia from September 8–12, 2025. I am really excited to meet all the scientists and researchers there.
Here are the video recordings from the M2L summer school M2L summer school
Cohere Summer School Online
I will be attending the Cohere Summer School Online and hope to remain connected with the community!
ICLR 2025 Presentation
I had the opportunity to present my work at ICLR 2025, one of the premier conferences in machine learning. During the poster session, I showcased my research titled “Computer Graphics from a Neuroscientist’s Perspective” (PDF), engaging with domain experts from both computer science and neuroscience. The constructive feedback and interdisciplinary discussions significantly informed and shaped the next phase of my project.
Society for Neuroscience (SfN) Chapter, Singapore
I attended the Society for Neuroscience chapter in Singapore, where I participated in neuroscience outreach, helped organize local events, and fostered interdisciplinary collaboration between computational and biological sciences.
🛠️ Technologies & Tools
Languages
Frameworks & Libraries
Tools
💻 IDEs/Editors
🖥️ Libraries
📝 Latest Blog Posts
🤝 Let’s Connect
Courses I suggest to audit
- Introduction to Machine Learning
- Computational Visual Perception - I was also a part of this course as a Teaching Assistant
- Visual Computing for the Life Sciences - Offered by Prof. Dr. Thomas Schultz and is one of the best courses I ever attended. I must say that Prof. Schultz is one of the best course instructors I have met or learned from. His slides were always clear, structured and very easy to understand. They made hard concepts in Computer Science available to an audience of non-computer scientists at the Master level which was nothing short of great for the students.
- Introduction to Deep Learning
- Introduction to Neuroscience
- The Brain that Changes Itself - the first documentary which inspired me about the plasticity of the brain and how are abilities are not fixed over life. We can change it over time with Neurofeedback, also use BCIs (brain computer interfaces) for Neurofeedback!
Podcasts and Videos I suggest to watch
- Consciousness, reasoning and the philosophy of AI
- Pawan Sinha with Project Prakash
- Peter Dayan, The Marriage of Natural & Engineered Reinforcement Learning - RLC 2025
- Previous work from Peter Dayan
- Machine Learning for the Sciences by Klaus Robert Muller
- The Brain that Changes itself
- How biocomputing works and Matters for AI
- The future of NeuroAI
- Quantum Computing
- WayMo - autonomous vehicles are possible :)
- Gary Marcus on AGI
- Ray Kurzweil, the wonderful and terrifying implications of computers that can learn
- Education in transition – we are not applying our brains to it?
- Inventing Liquid Neural Networks
- Prof. Bishop’s new Computer Vision Notebook
- The day after AGI
Articles, which can also be listened to as a Podcast
Movies I suggest
a. A Beautiful Mind (about John Nash and Game Theory)
b. The Imitation Game
c. Theory of Everything
d. Inception
e. Shutter Island
f. Sully
Books I suggest
a. The Singularity is near by Ray Kurzweil
b. Investigation into the laws of thought by George boole on Boolean Algebra
Thank you for visiting my profile!