Introduce yourself!

Community Chat
862

Hello all!

My name is Sara Lastine. I’m an undergraduate student at Iowa State University, expected to graduate this spring in May. Though my declared majors are in Linguistics and Computer Science, my true passion lies in neuroscience.

I am especially interested in comparative cognition and how it relates to linguistics. I have experience across various programming languages and software packages, and I have worked in multiple neuroscience labs over the years.

I am presently seeking a neuroscience research assistant position, hopefully in the New England area.

863

I’m Yelbek, a Full Stack Software Engineering student from Kazakhstan. I’m excited to participate in GSoC. I have over two years of experience as a full stack engineer, and I see this as a great opportunity to grow professionally while contributing to open-source projects.

864

Hi everyone! I’m Abhranshu a CS student with specialization in Data Science preparing for GSoC 2026.

I have a strong background in C and Java. What brings me to INCF specifically is my research and project that I work on “Visual Cognitive Load and Attention Estimation Using Eye and Facial Behavioral Signals,” particularly its applications in ADHD research.

I am looking for projects where I can apply my experience with behavioral signals and signal processing while contributing to open-source neuroscience tools. I’m currently exploring the 2026 project list and am excited to get started with some initial contributions!

866

Hi, I’m Dev. I’m currently in the final year of my MSc.IT. Along with my studies, I have experience building full-stack software and contributing to open source. I enjoy solving problems, adapting to new technologies, and taking on challenging tasks that help me learn something new. Through this I got interested more in research, development, and building real systems.
I’m particularly interested in learning more about how computational methods, data, and software infrastructure can support neuroscience research. I’m also always happy to collaborate, help where I can, and learn from others who have more experience in this field.
Looking forward to learning from this community!

867

Hey Everyone!

My name is Utsav Punia, and I am currently pursuing a Master’s in Artificial Intelligence and Machine Learning at Adelaide University. I’m interested in machine learning, LLM-based systems, and agentic AI workflows, and I’m currently completing an AI internship at SAGE Automation.

Outside academics, I’m also the Director of Sports at the Master’s in Technology Students’ Association (MiTSA), where I help organise student sports and wellbeing activities.

Looking forward to connecting with everyone😊.

869

My name is Korani Lavina, and I am currently pursuing my undergraduate degree in Artificial Intelligence and Machine Learning. my research interests focus on neuroinformatics, brain–computer interfaces, neural signal analysis, and AI-driven healthcare technologies.

Over the past year, I have been actively working at the intersection of AI, neuroscience, and assistive technology. I also participated in Google Summer of Code exploration with the Oppia Foundation and Google DeepMind, which strengthened my interest in contributing to open scientific communities developing impactful technologies.

My current research work focuses on BCI systems and neural signal processing, and I have contributed to literature through the following review papers:

• Myoelectric Control to Biomimetic Dexterity: A Review of the State-of-the-Art in Bionic Upper-Limb Prostheses
• Cognitive Neuroscience Model for Improving Learning Cognitive Ability by Detecting the Learning Index through Brain-Computer Interface Signals

In addition, I am currently developing a research project aimed at improving accessibility for hearing-impaired individuals. The work proposes an algorithm that maps adjacent audio frequencies and multilingual speech signals into accessible patterns, enabling improved interaction with assistive hearing technologies. The algorithmic framework has been designed and is currently undergoing further validation for research publication.

Because of my strong interest in open neuroscience collaboration and neuroinformatics infrastructure,
I would be grateful for any guidance on:

• how I could begin contributing to the repository?
• beginner issues or tasks suitable for prospective GSoC contributors??
• recommended resources to better understand the Brian codebase??

I would also be happy to share my GitHub projects (including several EdTech systems) or discuss my ongoing research and conference collaboration with M.Tech students from IIT Bombay if helpful.

Thank you very much for your time and for the impactful work you are doing in advancing computational neuroscience tools.

870

Hi all
I’m Yogin Langalia, a 2nd year undergrad student in IT Engineering and Data Science, and I’ve been exploring GSoC 2026 projects in the Python/ML space
for the past few weeks.

I came across QC-Studio through the INCF GSoC page and ended up spending a few
hours going down the rabbit hole , reading through the MRIQC docs and IQM
taxonomy, looking at how Nipoppy organizes derivative outputs, and understanding
where NiiVue sits in the NiPreps ecosystem. The problem you’re solving (making
MRI QC less of a manual, eyes-on-every-scan bottleneck) is exactly the kind of
thing that gets me interested , it’s a real workflow pain point with a concrete
Python + ML solution path.

My background: I work primarily in Python, I’ve built Streamlit apps before
(data dashboards, ML experiment tracking UIs), and I’ve worked on LLM-based
pipelines including RAG and structured-output generation. I’m also comfortable
with scikit-learn, PyTorch, and the broader data science stack. I don’t have a
deep neuroimaging background yet, but I’ve been learning - BIDS structure, what
fMRIPrep and MRIQC actually produce, what IQMs like CJV, FBER, and DVARS are
measuring and why they matter for downstream analysis.

I have a specific technical direction I want to share (around the IQM
percentile-ranking + LLM annotation piece), which I’ll put in a follow-up reply.
But first I just wanted to say hello and flag my interest , this is one of the
most well-scoped projects I’ve come across in the neuroimaging GSoC space this
year.

Looking forward to engaging with you all.
Yogin Langalia

871

Hi everyone,

I’m Nitya, a third-year CS student from India, interested in machine learning and neuroinformatics.

I’ve been working on a project focused on unsupervised filtering of brain microscopy images. Many datasets (like atlas data) contain highly similar adjacent slices, which leads to redundancy and inefficient model training.

My approach uses feature extraction (e.g., CNN-based embeddings) and similarity comparison to automatically remove redundant images, helping optimize dataset size and training performance.

I’m looking to contribute to open-source projects in this space and would really appreciate any feedback, suggestions, or direction on how to improve or align this work with existing tools.

Thanks!

872

Hi, I am interested in contributing to the csa project for GSOC 2026.

I have already made an small fix - replaced hash() with hashlib.md5

for stable seeding and added docstrings to masks.py

PR link: fix: replace hash() with hashlib.md5 for stable seeding and add docst… by Nityahiray · Pull Request #40 · INCF/csa · GitHub

Looking forward to your feedback!

873

Hi I am Summer Wang. I am new to open source development and would like to participate in GSoC 2026 as a starting point. My background is biomedical research. I spent 7 years working as a research technician at a non profit research institute and now I am pivoting to software development. I like the fact that INCF is an intersection of my background and my current passion. Glad to join the community!

874

Hi everyone!

I am Muskan, an AI/ML and bioinformatics, currently in my 3rd year year of BSC(Hons) in Biotechnology. I started with Psychology and Neuroscience and eventually got interested in coding as well so currently I am learning everything around neurocomputation.

I am really excited to be part of this community! I am here to learn, observe and contribute as much as I can.

cheers!

875

Heyy everyone!

I am Ifra Ahmed, a Computer Science student in my 6th semester from Pakistan. My interests include backend development, Python automation, and building tools that streamline complex workflows.

I joined the Neurostars community because I am super excited to apply for GSoC 2026 with INCF! I am specifically focusing on Project 23: A Python Command Line Interface (CLI) for the CBRAIN Distributed Computing Platform, as it perfectly aligns with my experience in REST APIs and Python scripting.

Looking forward to connecting with the mentors and learning from all of you!

876

Hi y’all! I’m Bharat and I’m super late to the game here but both @sarrah_basta’s GSOC 2026 Project #8 : Open source Community Sustainability LLM and @mstimberg’s GSOC 2026 Project #2 : Brian Simulator - Update Brian documentation infrastructure (175h) caught my eye since I’m a career changer from marketing to data science and now steeped in all sorts of agentic stuff so looking to hone that. Been doing a lot of static site generators (mostly Astro, Hugo, and SvelteKit) but have had my eyes on trying the documentation ones (Sphinx and MkDocs) soon! And most of that experimentation has been through “vibe coding” so voila agentic flow ftw. Hoping to be involved with the projects in general but ideally through GSoC.

877

Hi @bkusuma I hope you are aware that the GSoC application deadline was yesterday – if you did not hand in an application by then, participating in this year’s GSoC will not be possible.

878

Hi, I’m Tunan Li, an M.D.–Ph.D. trainee at the Chinese Institutes for Medical Research (CIMR) and Capital Medical University, working in Mei Lab under Professor Lin Mei.

My background is in neurobiology and quantitative biomedical data analysis, including proteomics, single-cell transcriptomics, genomics, and UK Biobank data. I work with Python, MATLAB, and R, and I am now transitioning seriously into computational neuroscience and NeuroAI. I’m especially interested in the intersection of neurobiology, computation, and theory, and I’m looking to learn from people working across these areas.

879

Hi everyone,

My name is Deepanshu Saini, and I’m a student interested in contributing to MUSIC as part of Google Summer of Code.

I have experience with C++ and have recently started exploring the MUSIC codebase. I was able to build the project locally and have already made a couple of small contributions, including improving build documentation and error messages.

I’m currently looking into further contributions, especially around improving error handling and fixing small issues in the codebase.

I’d appreciate any guidance on areas where I can contribute more effectively.

Looking forward to learning and collaborating!

Thanks,
Deepanshu Saini

880

Hi everyone.

I’m Chester Pan, a 1st year PhD student on Medical Imaging. I have CS and AI background and I’m interested in MRI area. I’m now holding a project focus on PAE and DHCP dataset in NZ. I’m passionate about this ‘newral’ world.

Cheers.:wink:

881

Hi,

I‘m Anton. I‘m very interested in neueopathology. I‘m very faszinated, how the neurodiseases are going and how the Immunsystem protect us against them. In particular I‘m interested in diseases like Parkinson, because it‘s not a disease that caused by a pathogen and we have at the moment no ways to cure.

(If my english is not very well, i‘m sorry, but I‘m from Germany, so it‘s a little bit hard.) (;

882

I am Md. Shamsul Alam, an AI/ML/DL Research Assistant (working across both university and remote labs) and full-stack developer with multiple biomedical imaging papers currently under review in Q1 journals. My engineering portfolio spans from developing Agentic RAG pipelines for the Google Gemini CLI and contributing to open-source AI tools like Clawdbot/Moltbot, to building autonomous embedded systems and diverse IoT solutions. Beyond academic research, I hold a Bronze honor from IAAC 2025, was a Finalist at ICSC 2025, actively solve algorithmic challenges on LeetCode, and maintain a diverse portfolio of ML, software, and biomedical deployment projects on my GitHub. I am passionate about bringing robust AI engineering to open scientific communities.

:link: GitHub: shamsulalam1114 (MD. SHAMSUL ALAM) · GitHub
:link: LinkedIn: https://www.linkedin.com/in/shamsul-alam-ba7658373/