Summary
Ashwin Dhakal is a PhD candidate and graduate research assistant at the University of Missouri-Columbia with eight years of experience at the intersection of machine learning, computer vision, and bioinformatics, focused on healthcare and structural biology applications. He has authored 15+ publications with 400+ citations and built state-of-the-art deep learning methods—adopted by Harvard Medical School—for particle picking and 3D segmentation in cryo-EM/ET, and curated the largest open-access labelled cryo-EM protein particle dataset that enabled 25+ follow-up studies. Technically fluent in PyTorch/TensorFlow, Transformers, diffusion models, equivariant GNNs and 3D architectures, he also engineered end-to-end pipelines for large-scale GPU deployments, CUDA-enabled containers, and AWS orchestration. Beyond research, Ashwin has hands-on experience translating models into reproducible production workflows and mentoring students, and he uniquely blends teaching rigor with practical systems engineering to accelerate drug-discovery and viral-structure modeling.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Tribhuvan University, Institute of Engineering
University of Missouri
English, Nepali, Hindi