Researcher at Preferred Networks Inc.
iwasawa [at] preferred.jp
As a Solutions Architect at NVIDIA, I work with Japanese enterprise customers on large language model training and inference, with a focus on the NeMo framework. I joined NVIDIA in February 2026.
Previously, as a Researcher at Preferred Networks Inc., I primarily engaged with clients in the healthcare and life sciences sectors and served as the tech lead for providing BtoB solutions using Large Language Models (LLMs).
I led a research project to build a medical domain-specialized LLM, resulting in Llama3-Preferred-MedSwallow-70B and Preferred-MedLLM-Qwen-72B, the first open LLMs that surpass GPT-4 in the Japanese Medical Licensing Exam (JMLE). I also led a project for developing a deep learning based solution aimed at enhancing the diagnosis of endometriosis through the analysis of MRIs, in collaboration with a leading pharmaceutical company.
I have experience formulating problems through consultations with clients and providing solutions based on deep learning / machine learning. I have also been the main mentor for four research interns and one part-time engineer.
During my PhD, I worked on the development of machine learning methods for gene expression/mutation data to tackle the problem of antibiotic resistance of bacteria.
Junichiro Iwasawa (岩澤 諄一郎)
Preferred Networks Inc.
Preferred Networks Inc.
Furusawa Laboratory, Dept. of Physics, The University of Tokyo
Sano Laboratory, Dept. of Physics, The University of Tokyo
Dept. of Physics, The University of Tokyo