Azmine Toushik Wasi — HTGAA Spring 2026 (Global TA)
About me
I am an aspiring AI researcher and a recent graduate of Industrial and Production Engineering from Shahjalal University of Science and Technology. My research focuses on developing human-centric, safe, reliable, robust, efficient, and capable machine learning systems.
Over the past few years, my work has converged toward one objective: building human-centric AI systems that strengthen healthcare access and quality across biological, clinical, and psychological domains.
To advance toward this objective, I am developing along three interconnected directions:
Generative AI, agentic LLMs, and VLM systems
Designing models capable of structured reasoning, adaptive planning and agency, and context-aware decision support with measurable accuracy and clear human-facing communication.Computational biology, biomedicine, and biomedical AI
Developing data-driven methods that integrate biological, chemical, and clinical evidence; detect mechanistic patterns; quantify uncertainty; and generate clinically actionable insights grounded in scientific principles.Human-Computer/AI Interaction
Ensuring measurable safety, reliability, interpretability, and fairness in machine learning systems while enabling effective human-AI interaction across multilingual, multicultural, and low-resource settings, especially in high-stakes domains.
I collaborate with Prof. Chae (HYU) on GenAI, LLM-HCI, and biomolecular ML; Riashat Islam, PhD (Microsoft Research), and Md Rizwan Parvez, PhD (QCRI) on biomedical AI, generative models, agents, and reasoning; Prof. Alshehri (KSU) on generative AI and health informatics; researchers from Cohere Labs on LLM evaluation, alignment, agents, reasoning, and applications; and Prof. Min Xu (CMU) on biomolecular research. I completed HTGAA 2025 (MIT), focusing on protein engineering, and later joined as a global TA. I also founded CIOL to support early-stage AI researchers. Through CIOL, I collaborate with Prof. Mukaddes (SUST) and Prof. Ahsan (OU) on human-centric AI, LLM reasoning and agents, and digital twins for industrial and biomedical applications. Under my mentorship, around 15 students have published their first research paper, and I regularly organize research and technical training sessions.
My research has appeared in venues such as ICLR, WWW, CSCW, IEEE BHI, ACCV, DASFAA, IISE, and COLING, with related workshops at NeurIPS, ICLR, AAAI, ICML, ACL, EMNLP, NAACL, CHI, and IISE. I also review for major AI and ML conferences and journals including NeurIPS, ICLR, T-PAMI, ACL, EMNLP, CHI, and CSCW, and I am a Kaggle Grandmaster. I enjoy exploring new research areas, sharing knowledge, mentoring researchers, and building systems that push both scientific and practical boundaries.