π§ Career Summary
I'm final year undergrad (only thesis defense remaining) in Industrial and Production Engineering at Shahjalal University of Science and Technology.
My core research focuses on exploring AI4Science, Biomedical AI, Graph Neural Networks (GNNs), AI Agents and Reasoning, with an emphasis on structural biology, therapeutic, clinical, and molecular ML domains. In addition to that, my other research interests include interdisciplinary research in AI agents and Human-Centered AI (HCI, HAI) with NLP (Multilinguality, Bias and Fairness) and AI in Industrial Engineering. I am looking forward to pursue a PhD in Spring/Fall 2026 to continue my research.
I'm collaborating with Riashat Islam (Microsoft Research) on molecular ML, generative AI, and reasoning, and with Prof. Alshehri (KSU) on health informatics, GNNs, AI agents, and GenAI. Previously, I worked with Prof. Chae (HYU) (HYU) on GNNs, drug discovery, and NLP-HCI, and with Prof. Min Xu (CMU) on biomolecules. I actively collaborate with researchers from Cohere Labs (formerly Cohere for AI), Harvard University, and more. Completed HTGAA 2025 (MIT Media Lab), focusing on protein engineering. At CIOL, I collaborate with Prof. AMM Mukaddes (SUST), Prof. Ahsan (OU) and Prof. Bappy (LSU) on GNNs, AI Agents and digital twins for industrial and medical applications.
My research has been published in prestigious venues such as ICLR, WWW, COLING, DASFAA, CSCW, and related workshops. I regularly review for major AI-ML conferences and am a Kaggle Grandmaster. I also have 3 years of experience in AI-driven product/content automation and product and project management. Iβm a quick learner and highly adaptable, able to lead teams and projects. I enjoy exploring new topics, sharing knowledge, honing skills, experimenting and pushing my limits.
View my Curriculum Vitae → Feel free to email me (azminetoushik dot wasi at gmail dot com) if you're interested in collaboration or discussing research. I'm open to new ideas and collaborations.
π Research Interests
- 𧬠Exploring Computational Biology and Biomedical AI Applications
- Working on Computational Molecular Biology, Bioinformatics, and Computational Drug Discovery (CADGL). Exploring problems like molecular properties prediction, protein discovery, binder design and affinity, molecular interactions, structural biology, and healthcare optimization (ICLR'24).
- Currently, exploring Digital Twins, clinical reasoning and Agentic LLMs for Clinical and Biomedical AI Applications.
- Worked with de novo protein generation models and experienced with RL-inspired/energy-guided geometric/sequential structural biology modeling tools with GNNs, Flow Matching, GFLowNets and Diffusion models.
- π Understanding and Applying Graph Neural Networks (GNN)
- Engaged in Geometric Machine Learning, focusing on GNN theories and applications, with an emphasis on biomedical AI applications as described above.
- Additionally, applying GNNs to industrial engineering, specifically in supply chain optimization (GNNs in SCM) and manufacturing.
- Interested in application of knowledge graphs (extending GNNs) across diverse systems and domains ( COLING'24, ACL'24W, EMNLP'24W).
- π§βπ» Interdisciplinary Research on Humans, AI, and Language
- My recent work develops trustworthy AI reasoning by integrating RAG, reward-based RL fine-tuning, Digital Twins, and structured reasoning to enhance model reliability. I'm working on multilinguality and reasoning in LLMs, focusing on self-verification, uncertainty estimation, and agentic decision-making in generative models, with AI4Good applications.
- Additionally, in AI for Good, I've worked on accessibility, evaluation and improvement of human factors and ergonomics (ICML'24W and EMNLP'24W), religious/cultural values ( CSCW'24, CHI'24W, COLING'25 - 1, 2), into AI systems, mainly Generative AI and LLMs (ICLR'25).
π° News and Updates
- June 1, 2025: My work on GFLowNets for better DDI systems in accepted to ICANN'25!
- May 17, 2025: I led three research projects and co-authored a D&B paper with Cohere Labs, all submitted to NeurIPS'25!
- May 15, 2025: Presented multiple projects at Aya Expedition 2.0, including those I led: MM Clinical Understanding and MM Legal Assistant Agentβthe latter successfully passed two stages of the Bangladesh Bar Council Exam! I was also part of several other projects selected for the final presentation.
- May 14, 2025: Presented my HTGAA Final Individual Project on designing de novo Lignin-Degrading Enzymes for Biomass Valorization to the global community!
- May 13, 2025: One solo author position paper advocating specialized LLMs instead of general-purpose LLMs for healthcare is accepted to CVPR 2025 Multimodal Foundation Models for Biomedicine Workshop!
- May 3, 2025: Selected as a finalist of the IISE QCRE 2025 Data Challenge!
- April 15, 2025: Joined AI4CHEMIA, KSU as a Visiting Researcher, under Prof. Alshehri. I will be working on AI4Science, GNNs, AI Agents and GenAI.
- April, 2025: Kaleidoscope, my third project with Cohere for AI Community is now live! Along with 40+ researchers world-wide, we built a massively multilingual vision benchmark to evaluate LLMs using in-language exams.
- March 31, 2025: In Aya Expedition 2.0 with Cohere for AI, I am leading a project on multilingual clinical understanding and reasoning. I'm also invlved in several other projects like MedAya, Multilingual Long CoT, Embodied reasoning and more.
- March 30, 2025: One of my works on LLM evaluation is accepted to CHI 2025's Human-Centric LLM Evaluation Workshop. Two papers I mentored on AI governance are accepted to CHI 2025's Socio-technical AI Governance Workshop.
- March 28, 2025: Two more shared task papers I mentored on clinical reasoning and emotion detection is accepted to NAACL and ACL workshops!
- March 27, 2025: I participated in the ASAP Discovery x OpenADMET Antiviral Drug Discovery Challenge via Polaris. While my overall ranking in the competition wasn't at the very top, I managed to secure strong rankings in some setups. Read my LinkedIn post and GitHub for details!
- March 31, 2025: Two more shared task papers I mentored on clinical reasoning and emotion detection is accepted to NAACL and ACL workshops!
- March 27, 2025: My work on Multi-lingual LLM Evaluation in accepted is accepted to CHI'24 HEAL (Human-centric LLM Evaluation and Auditing) workshop!
- March 05, 2025: My work on Interpretable Biomolecular Design using Genomes has been accepted at the ICLR'25 ML for Genomics Explorations workshop!
- March 05, 2025: One of my works on Agentic Safety has been accepted at the ICLR'25 Foundational Models in the Wild workshop!
- February 27, 2025: One of my works on AI Agents Application has been accepted at the NAACL 2025 Workshop on Language Models for Underserved Communities!
- February 27, 2025: Five out of the six submissions I actively advisedβfive from the CIOL Winter ML Bootcamp and one from HerWILLβhave been accepted at the NAACL 2025 DravidianLanTech Workshop!
- February 28, 2025: My work on AI Agents for Social Impact has been accepted at the AAAI 2025 Workshop on Social Impact of AI!
- February 12, 2025: Joined How to Grow Almost Anything (HTGAA) 2025 by Community Biotechnology Initiative, MIT Media Lab as a Global Committed Listener!
- February 11, 2025: INCLUDE received spotlight in ICLR'25 (Top 5.1%)!
- February 8, 2025: My work on AI4DG in in Marginalized Communities has been accepted at the AAAI 2025 Workshop on Social Impact of AI!
- January 25, 2025: Two papers (Gaussian Graph Regularization and Bias Handling with MLMs) are accepted to DASFAA'25!
- January 23, 2025: One paper (INCLUDE, Cohere for AI Community Controbution) is accepted to ICLR'25 (A*-tier)!
- January 20, 2025: One first author paper on LLM Evaluation is accepted to WWW'25 (TheWebConf, A*-tier)!
- January 12, 2024: One project I mentored is accepted to AAAI 2025 PDLM Workshop!
- December 26, 2024: Organizing CIOL Winter ML Bootcamp! I'm the lead instructor and coordinator in this program!
- December, 2024: Received 1000+ Stars on GitHub!
- November 04, 2024: One shared task paper accepted to CHiPSAL workshop at COLING'25!
- October 15, 2024: One work is accepted for a oral (only 3 are selected!) presentation in Harms & Risks of AI in the Military workshop at Mila!
- October 1, 2024: Two works I mentored have been accepted at the DigiTwin 2024 Conference.
- September 28, 2024: One paper is submitted to ICLR (with Cohere for AI Community)!
- September 20, 2024: One paper on Geometry-Aware Facial Expression Learning is accepted to ACCV'24!
- September 19, 2024: One paper is accepted to EMNLP'24 NLP for Science workshop!
- September 10-20, 2024: Two papers are submitted to COLING'25!
- September 12, 2024: One paper on GNN-based Explainable Hate Speech Detection is accepted to EMNLP'24 NLP for Positive Impact workshop!
- August 17, 2024: One paper is submitted to IJPR (GNNs in SCM)!
- August 10, 2024: Three workshop papers from ACL'24 are published in ACL Anthology > [HRGraph], [SMM4H Task 3], [SMM4H Task 5].
- JAugust-September, 2024: I'll be reviewing in EMNLP'25, CSCW'25, TEI'25, and more top tir conferences!
- August, 2024: Joined Cohere for AI - Aya Expedition Projects as open source contributor!
- 20 July, 2024: One paper is submitted to EMNLP 2024!
- July 17, 2024: One paper on Human-centric NLP (LLMs) and Human-AI collaborative spaces is accepted to CSCW'24 Posters.
- July, 2024: Will be joining Computational Neuroscience Summer School by Neuromatch Academy in July 2024.
- June 17, 2024: One paper is accepted to ICML'24 Workshops (Large Language Models and Cognition)!
- June, 2024: Will be joining Climate Change AI Summer School by in June-Aug. 2024.
- May 1, 2024: Awarded 1 Year ACM Membership for my service in IDC 2024, as a reviewer.
- April 1-20, 2024: Joined the program committee of TextGraphs-17 and ClimateNLP workshops co-located with ACL 2024.
- April - July, 2024: Will be serving reviewer at several ACL'24 and ICML'24 workshops!
- March - April, 2024: Received ICLR Travel Award (DEI) as an early student researcher! But, failed to travel due to visa issues :(
- March 25, 2024: One paper on LLM Auditing and Evaluation is accepted to CHI'24 HEAL (Human-centric LLM Evaluation and Auditing) workshop!
- March, 2024: Served as a reviewer in ACL ARR (Feb 2024)!
- March 17, 2024: Two papers on Dark sides of LLM-assisted Writing are accepted to CHI'24 In2Writing workshop!
- February 20, 2024: One paper on Bangla Knowledge Graph is accepted to COLING'24.
- February 16, 2024: Two papers are accepted (Invited to Present) to ICLR Tiny Papers Track.
- January, 2024: One paper is submitted to IEEE T-CBB (Journal, IF 4.5).
- December, 2023 - January, 2024: Served as a reviewer in ICLR Tiny Papers Track!
- December, 2023: Served as a reviewer in Complex & Intelligent Systems Journal (IF 5.8)!
- October, 2023: Two papers are accepted in NeurIPS'23 Workshops!
- August, 2023: Become a Kaggle Notebook Grandmaster (3rd Kaggle GM in Bangladesh).
- May, 2023: Selected as a finalist of IISE QCRE Data Challenge 2023.
- October, 2022: Joined DILab, as a research student.
- March, 2022: Founded CIOL, bridging IPE and AI through research.
→ View my list of Rejections and Failures!
π Selected Publications
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INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Angelika Romanou, ... , Azmine Toushik Wasi, ... , Sara Hooker, Antoine Bosselut ICLR'25 (Spotlight, Top 5.1%) βͺ [OpenReview] βͺ βͺ βͺ -
Gaussian Regularization in Neural Graph Learning
Azmine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae DASFAA'25 (Full Paper, Short Oral) βͺ -
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
Azmine Toushik Wasi*, Taki Hasan Rafi*, Raima Islam, Karlo Ε erbetar, Dong-Kyu Chae (*Equal Contribution)
ACCV'24 βͺ [CVF] βͺ [LNCS] βͺ [arXiv] βͺ -
Neural Control System for Continuous Glucose Monitoring and Maintenance
Azmine Toushik Wasi
ICLR'24 Tiny Papers βͺ [OpenReview] βͺ [arXiv] βͺ [GitHub] βͺ βͺ -
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
ICLR'24 Tiny Papers βͺ [OpenReview] βͺ [arXiv] βͺ [GitHub] βͺ -
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Serbetar Karlo, Dong-Kyu Chae βͺ [arXiv] βͺ βͺ -
Dialectal Bias in Bengali: An Evaluation of Multilingual Large Language Models Across Cultural Variations
Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Farig Sadeque, Taki Hasan Rafi, Dong-Kyu Chae
WWW'25 (TheWebConf) (Short Paper) βͺ βͺ βͺ -
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
Azmine Toushik Wasi, MD Shafikul Islam Sohan, Adipto Raihan Akib, Mahathik Muhammad Bappy βͺ [arXiv] βͺ [GitHub] βͺ βͺ βͺ
View All Publications and Ongoing Works →
π§βπ¬ Research Experiences
Visiting Researcher, AI4CHEMIA Research Group, King Saud University | Apr, 2025 - Present
Global Committed Listener, How to Grow Almost Anything (HTGAA) 2025, Community Biotechnology Initiative, MIT Media Lab | Feb, 2025 - Present
Participant, Brown University Dept. of Physics presents the AI Winter School 2025 | Jan, 2025
Student Research Assistant, Mila Quebec AI Institute | May, 2024 - Present
Contributor, Cohere Labs (formerly, Cohere for AI) | Aug, 2024 - Present
Research Assistant, Computational Intelligence and Operations Laboratory, Shahjalal University of Science and Technology | 2021 - Present
Research Intern, Xu Lab, Carnegie Mellon University | Jul, 2024 - December, 2024
Visiting Researcher, Data Intelligence Lab, Hanyang University | Nov, 2023 - July, 2024
Computational Neuroscience Summer School (Research Student), Neuromatch Academy | Jul, 2024
CCAI Summer School (Research Student), Climate Change AI | Jun - Aug, 2024
π Selected Projects
- CIOL Presents Winter ML Bootcamp I am the lead organizer and instructor of the ML bootcamp, with more than 50 participants. I prepared materials and took live sessions on EDA, Tabular Data Modeling, Hyperparameter Tuning, ANNs - Deep Learning, NLP, Computer Vision, LLM Agents and mentored 6 research teams in the bootcamp. [Website] βͺ [GitHub] (Check Session Notebboks) βͺ [Youtube] (Check Recordings)
- AyaFestPe: A multi-lingual and multi-cultural festival exploration guide The pipeline starts by collecting festival data from HF and translating it with AyaExpanse for multilingual access. We then gather user queries, use M-RAG to embed data and queries, rerank results, and combine relevant context with the query to generate output. [GitHub] βͺ [Colab] (using Cohere API) βͺ [Kaggle] (Using released model weights, with quantization)
- π« Online ML University: Free AI resource collection for everyone! Currently ~150β in GitHub!
- π Paper Organization and Collection
- ICML 2024 Graph Paper Collection : List of all graph and/or GNN papers accepted at ICML'24. Currently ~160β in GitHub!
- ICLR 2024 Graph Paper Collection : List of all graph papers accepted at ICLR'24. Currently ~70β in GitHub!
- ICLR 2024 LLM Paper Collection : List of all LLM papers accepted at ICLR'24. Currently ~35β in GitHub!
π©βπ» Technical Skills
- Programming Languages: Python (Advanced), R, SQL, C
- DS & ML Tools (Python): NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, Keras, Tensorflow, Pycaret, PyTorch.
- ML Techniques: Normal ML Methods, Deep Learning, NLP, Computer Vision, Graph Neural Networks, Explainable AI, Robust Modeling, etc.
- DS Techniques: EDA, Hypothesis Testing, Sampling, Statistical Testing, Corelation Analysis and Inference.
- Data Analysis: MS Excel, SAS, Tableau, Power BI
- IT Automation: Automation in MS Word, Powerpoint, Excel, Google Sheets, Adobe Photoshop, Illustrator, Python based Photo Manipulations
- Computational Biology and Bio-molecules: Molecular Networks, Classification, Molecular Interaction Detection and Classification, Generative Modeling with Flow Matching and Graph Diffusion
- Human-Computer Interaction: LLM Customization, Survey Design, UI/Framework Design and Development, Data Collection and Analysis
- Others: Product Development, Project Management, Business Development and Strategic Planning and Analysis.
πΌ Academic Services
- Conference or Journal Reviewer
- AI/ML: ICLR'25, ICLR'24 Tiny Papers.
- NLP: ACL ARR Feb (ACL), Apr, Jun (EMNLP), Aug 2024 [View in official reviewer list]; COLING'25.
- HCI/HAI: CHI'25, CSCW'24, '25, UbiComp/ISWC'24, TEI'25, ICMI'24, IDC'24.
- Journals: Complex & Intelligent Systems (Springer Nature).
- Total conference or journal paper reviewed: 67
- Workshop Program Committee and Reviewer
- ICLR'25: AI4MaterialsDiscovery Re-Align, LMRL
- NAACL'25: DravidianLanTech, CLPsych, In2Writing
- AAAI'25: Social Impact of AI,
- CHI'25: STAIG, HEAL
- NeurIPS'24: Behavioral ML, AI4MaterialsDiscovery, EvalEval, Military AI, MusIML
- EMNLP'24: NLP for Positive Impact, Multulingual Represent Learning
- ICML'24: AI4Science, LLMs & Cognition
- ACL'24: TextGraphs-17, ClimateNLP, SMM4H, Language + Molecules, GenderBiasNLP, WASSA.
- MICCAI'24: Fairness in Medical Imaging, GRaphs in biomedicAl Image anaLysis.
- Total top conference workshop paper reviewed: 61
- Organizer
- NeurIPS'24 Muslims in ML Affinity Workshop