Hello, DeepChem team, my name is Catherine, I am from China, and I am currently a second-year master student in the Cognitive Science Lab. My research focuses on various deep learning models based on EEG signals, and most of my work is based on Pytorch. I am familiar with Python, Transformers, TCN, and LSTM (the above models are replicated because of the need for baseline algorithm comparison). I am very interested in the 'PyTorch Porting’ project of GSoC 2025. At the same time, I am also very happy to make efforts in simple work. I think such practical work can help me accumulate more experience before graduation. This project will make it easier for researchers to apply models to computational chemistry and drug discovery. In GSoC 2025, I am very eager to join you and contribute to this great work. Looking forward to your guidance, thank you!
Best regards,
Catherine
DeepChem GSoC 2025 Project Ideas
Hello, DeepChem team, my name is Catherine, I am from China, and I am currently a second-year master student in the Cognitive Science Lab. My research focuses on various deep learning models based on EEG signals, and most of my work is based on Pytorch. I am familiar with Python, Transformers, TCN, and LSTM (the above models are replicated because of the need for baseline algorithm comparison). I am very interested in the ‘PyTorch Porting’ project of GSoC 2025. At the same time, I am also very happy to make efforts in simple work. I think such practical work can help me accumulate more experience before graduation. This project will make it easier for researchers to apply models to computational chemistry and drug discovery. In GSoC 2025, I am very eager to join you and contribute to this great work. Looking forward to your guidance, thank you!
Best regards,
Catherine
Hello DeepChem team,
I am interested in contributing to the Layer Tutorials project for GSoC 2025. I have experience with Python, Jupyter/Colab, and technical writing, and I am eager to improve DeepChem’s documentation by creating useful tutorials. I would love to understand the expectations for new tutorials and any specific layers that need more coverage.
Looking forward to guidance from the mentors!
Best,
Abhinav Shukla
Hi,
I am Vishnu Kadam, an undergrad at IISER Pune, I am enthusiastic about applying to GSoC 2025 with DeepChem, I am particularly interested in Implementing a Wishlist Model project, focusing on integrating Hamiltonian or Lagrangian Neural Network.
Background and Experience:
- Graph Convolutional Networks (GCNs): I have implemented GCN architectures from scratch, gaining a deep understanding of graph-based data processing and model optimization.
- Diffusion Models: Successfully replicated diffusion model architectures based on academic papers, achieving high-quality outputs, which strengthened my skills in translating theoretical models into practical implementations.
- Research Projects: Engaged in research involving protein-protein interaction prediction, deep learning weather prediction models.
I look forward to the possibility of contributing to DeepChem.
Best regards,
Vishnu
Hello DeepChem Team,
My name is Mohit Gedam, and I’m a second-year student at the Institute of Chemical Technology, Mumbai, majoring in Pharmaceutical Chemistry and Technology and minoring in Artificial Intelligence and Machine Learning. I am writing to express my strong interest in the “Improving support for drug formulations” project listed for GSoC 2025.
My primary programming language is Python, and I have experience making drug formulations in the laboratory. I am eager to learn more about drug formulations and contribute to DeepChem by developing a tutorial and implementing relevant examples.
I would be grateful for the opportunity to discuss the project in more detail and learn how I can best prepare to contribute.
Sincerely,
Mohit Gedam
Email: mg270524@gmail.com
Github: https://github.com/mg270524
Hi DeepChem team, !
My name is Nika Kapanadze, and I am a computer science master’s student at the University of Liverpool. My background is in medicine, and I am an MD graduate from the Tbilisi State Medical University. During my medical career, I have had various interactions with chemistry, pharmacology or biochemistry. I am interested in taking part Layer Tutorials project as it touches modular building blocks of neural networks.
My interest is merging computer science and medicine, so I decided to follow this path. I find machine learning and pharmacology fascinating; thus, it is an exciting opportunity to become a member/contributor to something huge at the DeepChem. I am finishing my IT internship, where I help Aversi Clinics with AI model evaluations and increasing its efficiency with business analysis. I have also created various projects in Python and utilized machine learning algorithms, which are vital to the projects.
I have reviewed the projects in detail and am excited and thrilled. I am looking forward to hearing from you.
email: nicholas.kapanadze@gmail.com
GitHub: https://github.com/nicolasKappa
Kind regards,
Nika
Hi DeepChem Team,
I’m Nitisha Patil, a data science enthusiast with a strong passion for AI-driven molecular biology and drug discovery. My background includes experience in deep learning, bioinformatics, and computational biology, with a focus on leveraging machine learning for molecular data analysis.
As I’ve explored cutting-edge approaches in this field, I’ve grown particularly interested in Scientific Machine Learning (SciML) integrated with Genetic Algorithms for optimizing molecular models. I believe combining these techniques can lead to powerful advancements in drug discovery, molecular property prediction, and genomic data processing.
I am excited about the possibility of contributing to GSoC 2025 with DeepChem, and I’d love to work on projects that align with:
- Developing hybrid models that integrate Genetic Algorithms with deep learning for molecular property prediction.
- Optimizing drug discovery pipelines using evolutionary strategies within DeepChem.
- Enhancing support for genomic and molecular datasets in DeepChem through SciML-based feature extraction techniques.
Given my deep interest in AI-driven molecular research, I believe this would be a great opportunity to contribute to DeepChem while learning from experts in the field. Are there any ongoing or potential GSoC projects related to Genetic Algorithms, molecular biology, or SciML that I could explore further? Additionally, I would love any guidance on how to start contributing to relevant areas within DeepChem.
Looking forward to your response!
Best regards,
Nitisha Patil
Hi DeepChem Team,
My name is Siddharth Verma, and I am a B.Tech student in Mechanical Engineering at IIT Bombay, with a dual minor in Data Science & Artificial Intelligence. My research interests lie in AI-driven molecular discovery and computational efficiency, where I have worked extensively on generative models for chemistry and material science.
I am particularly interested in the following GSoC 2025 projects:
- Improving Support for Drug Formulations– Drug formulation is a crucial step in bringing new medicines to patients, and I am excited about the opportunity to enhance DeepChem’s capabilities in this space. My experience in molecular discovery using generative AI, along with my strong background in chemical informatics and deep learning, aligns well with this project.
- Numpy 2.0 Upgrade – Given my experience in optimizing computational workflows and debugging compatibility issues across ML libraries, I would love to contribute to DeepChem’s transition to Numpy 2.0. I understand the challenges of breaking changes in core dependencies and would be excited to help resolve compatibility issues.
Beyond my research in molecular AI, I have experience in cryptography, quantum computing, and algorithmic optimization. I have developed scalable AI models for molecular generation and predictive analytics while working with faculty at IIT Bombay and research labs in India and the US.
I would love to contribute to DeepChem and learn from the community. Please let me know how I can best align my skills with the project’s needs. Looking forward to your guidance!
Email: siddharth.verma.balia@gmail.com
GitHub: https://github.com/SiddharthMaverick
Best regards,
Siddharth Verma
Dear DeepChem Team,
I hope this email finds you well. My name is Arya Nigam, and I am excited to join the DeepChem community and contribute to its development. I am particularly interested in participating in Google Summer of Code (GSoC) and would greatly appreciate any guidance on how to get started.
I would be grateful if you could direct me toward beginner-friendly issues or essential resources that could help me understand the project structure, coding standards, and best practices for contributing effectively. Additionally, if there are any specific discussions, documentation, or prerequisites that would help me prepare for a successful contribution, I would love to explore them.
I look forward to engaging with the community, learning from the team, and contributing meaningfully to DeepChem. Thank you for your time and support!
Best regards,
Arya Nigam
Email- arya234nigam@gmail.com
Hi DeepChem team,
I am really excited to express my interest in participating in the “Layers Tutorial” project for DeepChem.I’m passionate about machine learning and love using my Python skills to contribute to meaningful projects like this. You can check out some of my work on my GitHub: https://github.com/Rohan25096.
As someone who’s just getting started with open-source contributions, this project feels like a perfect match for me—it’s beginner-friendly and fits right in with my interests. I see this as an awesome opportunity to sharpen my skills, team up with the talented DeepChem community, and help make machine learning more approachable with tutorials. I’m all in and ready to put in the time and effort to make this a success.
Thanks and Regards
Rohan Sahoo
Hi DeepChem Team,
I am interested in the project of improving support for drug formulations. I have beginner level experience in python and machine learning, and I am eager to learn new things that’s coming along with this project.
Kindly let me know how I can connect.
Hi DeepChem Team,
I’m a student interested in contributing to the Layer Tutorials and Improving support for drug formulations project for GSoC 2025. I would appreciate any guidance on how to get started and connect with mentors.
Looking forward to your response!
Thanks!
I am a second-year Computer Science student specializing in Artificial Intelligence at Sathyabama University with a strong background in Python, C, and Java. My passion for AI and open-source contributions makes me highly motivated to take on this project.
Technical Skills & Experience:
Programming Knowledge: I have a solid understanding of Python, which is essential for writing DeepChem tutorials.
Jupyter & Colab Experience: I have worked with Jupyter Notebook and Google Colab, making me comfortable in writing and testing tutorials and i have did several projects in google collab and jupyter notebook
Machine Learning Fundamentals: I have completed multiple AI-related courses, including Programming Foundations: Fundamentals and Digital Skills: Artificial Intelligence (Accenture), which provided me with a strong understanding of AI concepts.
Technical Documentation & Communication: I have experience explaining complex AI concepts clearly, which is crucial for writing effective tutorials.
Why I Chose This Project:
Making AI More Accessible – Many beginners struggle with implementing AI models. I want to help bridge that gap by contributing clear, well-structured tutorials for DeepChem’s layers.
Hands-On Contribution to Open Source – DeepChem is an important project in AI research, and I am eager to contribute to its documentation and improve the learning experience for others.
Expanding DeepChem’s Documentation – Since this was also a 2024 project, I am excited to expand and refine the existing tutorials while ensuring they are up-to-date and beginner-friendly.
I am confident that my AI background, Python skills, experience with Jupyter/Colab, and ability to write clear documentation make me an excellent fit for this project. I am eager to learn from mentors and actively contribute to DeepChem’s growth
Dear DeepChem Team,
I am excited to apply for the “Layer Tutorials” project for GSoC 2025. Being a computational biology student, I have a decent background in Python, deep learning, and technical writing, I also have experience working with ML models and am proficient in Jupyter/Colab. I am eager to contribute by creating clear, interactive tutorials and improving documentation for DeepChem’s layers. I look forward to the opportunity to enhance DeepChem’s accessibility and usability.
I look forward to your guidance and the opportunity to be involved.
Best regards,
Rishabh
Hi everyone,
I’m Santiago. I am an intermediate Python programmer interested in applying for GSoC 2025. I’d love to contribute to the Layer Tutorials project and help improve DeepChem’s documentation. Could you suggest where I should begin or which layers might be best to focus on?
my github: https://github.com/santimber
Thanks - Santiago
Dear DeepChem Team,
I hope you’re doing well! My name is Chinmayi, and I’m a sophomore studying Computer Science. I have experience coding in Python and working with Jupyter/Colab, along with a foundational understanding of machine learning. As part of my Break Through Tech AI coursework, I completed a final lab project applying ML concepts, and I also participated in the WiDS Datathon 2025, where I worked on real-world data challenges.
I’m excited about the opportunity to contribute to the Layer Tutorials project because I believe well-structured documentation and tutorials are key to making tools more accessible and impactful for the community. While I’m still learning, I’m eager to expand my skills and contribute meaningfully! I’m very interested in gaining hands-on experience with DeepChem’s layers while helping improve learning resources for others.
Thank you for your time and consideration! I look forward to the possibility of contributing!
Best,
Chinmayi
Hello, DeepChem Team,
I’m a student in my 4th year studying software engineering, and i’m interested in applying for GSoC 2025 under DeepChem and have explored the project ideas. Two ideas particularly interest me:
- Numpy 2.0 Upgrade
-
Model-Parallel DeepChem Model Training
While i have not directly contributed to DeepChem yet, I have good experience working with python and i would love to learn more and apply my current skills. As a potential contributor, this program offers a chance for me to:
- Work on a cutting-edge problem in deep learning with significant real-world impact.
- Gain in-depth knowledge and practical experience in distributed training techniques, which are highly sought after skills.
- Interact with and potentially contribute to both DeepChem and the broader PyTorch ecosystem.
- Tackle a challenging engineering problem that requires both theoretical understanding and practical implementation skills.
Here’s my github, my website, kookafor893 @ gmail . com for consideration. Thanks,
Kosisochukwu Okafor.
Hey DeepChem!
I am Nilima Sharma from Bangalore, Karnataka, India. I am currently pursuing my bachelor’s degree in Information Science, and I have always been very, very interested in exploring different and new things. I loved chemistry way back when i studied it and i think this will be an interesting opportunity for me to learn something new. I am really interested in Improving New Drug Modality Support, Improving support for drug formulations and Conversion of smiles to IUPAC and IUPAC to smiles. I will give my best howsoever little knowledge I might have. In the end, I just want to learn something new and expand my knowledge foundation.
I am currently learning python and have a little experience in kaggle as well.
Please guide me as to how I should start off at the earliest and get in touch with the mentors.
Looking forward to your response.
Regards,
Nilima Sharma
www.linkedin.com/in/nilima-sharma-1755b0314
Hello DeepChem!
I’m Moukthika Nellutla, a freshman from UIUC studying Computer Science and Bioengineering. I’m new to open-source and wish to learn from the projects provided. In the meantime, I’ve been learning AI and Machine Learning and neural networks and taking courses involving Linear Algebra to also learn the math behind it.
I am most interested in Improving support for drug formulations and wish to become a contributor to this project. It aligns with my technical interests and I see it as a perfect opportunity to learn. Please let me know if I need to do anything else before getting started.
Regards,
Moukthika Nellutla
Hello DeepChem team!
My name is Alan and I attend Oregon State University as a Computer Science Major. In my classes, I have learned about open source projects and have even submitted a pull request to a project! I am still new to the community and wish to contribute in meaningful ways.
Looking at the projects, I am interested in the Numpy 2.0 Upgrade project as I believe that I can learn a lot about migration practices as well as debugging from the project. I have worked a lot in Python, as well as created projects using pytest and unit testing so I am confident in being able to accomplish the description goals.
I look forward to a response from the community and mentors.
Thanks,
Alan Chan