Doctoral Researcher · University of Helsinki & HUS
Medical AI Researcher / Full-stack Engineer
I build medical AI systems with research depth and engineering clarity.
I am a doctoral researcher in medical AI at the University of Helsinki, working with Hematoscope Lab and Helsinki University Hospital. My work connects computer vision, survival analysis, statistical modeling, and reliable software engineering.
Alongside research, I design and ship full-stack web products — from data-intensive healthcare systems to polished production websites.
Current focus — Multimodal deep learning for cancer prognosis, combining bone-marrow cell morphology with clinical variables.
Current affiliation
Doctoral research at the Faculty of Medicine, University of Helsinki, within Hematoscope Lab and the Comprehensive Cancer Center at HUS.
My doctoral project as one pipeline: how cell images and clinical data become an overall-survival prediction for newly diagnosed multiple myeloma.
The starting point is the diagnostic bone-marrow aspirate smear — material haematologists already examine under the microscope at diagnosis.
Each smear is broken down into images of individual cells, so morphology can be read one cell at a time.
A vision transformer trained without labels turns every cell image into a compact embedding that captures its morphology.
A patient has many cells but a single outcome. Multiple-instance learning aggregates the cell embeddings into one patient-level representation.
A Cox proportional-hazards model links that representation to overall survival, giving a morphology-based risk score.
The morphology risk is combined with established clinical variables to ask whether the marrow carries prognostic information beyond them.
Doctoral research · Medical AI
Developing an end-to-end survival modeling pipeline that connects bone-marrow single-cell morphology with clinical variables through self-supervised vision encoders, multiple-instance learning, Cox models, and late fusion.
Role: doctoral researcher and first author; responsible for study framing, modeling, evaluation design, and research communication.
Client delivery · Web & brand
Designed and delivered the digital presence of a Finnish granite-quarrying company, combining a responsive website, multilingual information architecture, production deployment, and a custom SVG brand mark.
Role: freelance developer; responsible for product structure, interface design, implementation, deployment, and visual identity.
Full-stack systems · Healthcare
Iterated a hospital information system using Spring Cloud microservices, with patient, doctor, and registration services covering appointments, scheduling, records, audit workflows, analytics, and real-time communication.
Role: full-stack developer; expanded the data model, separated service boundaries, optimized APIs with MyBatis-Plus, and added WebSocket communication.
ESH 1st Scientific Workshop — How Data Science and AI Transform Research and Care in Haematology
2025 — Present
University of Helsinki · HUS · Hematoscope Lab
Researching multimodal deep learning for cancer prognosis at the intersection of cell morphology, clinical data, and time-to-event modeling.
2025 — Present
Web products and client systems
Designing and shipping production web experiences, AI-assisted tools, responsive interfaces, APIs, data workflows, and deployment systems.
2023 — 2025
Belarusian State University
Worked across feature engineering, medical image classification, time-series methods, and statistical modeling, resulting in peer-reviewed publications.
Doctoral Researcher (PhD), Faculty of Medicine
Sep 2025 — Present
Multimodal deep learning for cancer prognosis · Hematoscope Lab, HUS
MSc, Applied Mathematics & Informatics
Sep 2023 — Jun 2025
GPA 3.93/4.0 · Rank 1/15
Joint Degree, Automated Data Processing & Control
Sep 2021 — Jun 2023
GPA 3.98/4.0 · Rank 1/12
BSc, Software Engineering
Sep 2019 — Jun 2023
GPA 3.48/4.0 · Rank 2/32
All works currently listed on my public Google Scholar profile. Ordering reflects citation signal and relevance to medical AI.
Runhai He, Boyi Li, Fusheng Li, Qingqing Song
Academic Journal of Natural Science 1(1), 32–40 · 2024
Runhai He, Boyi Li, Zhenxing Zhang, Quanhua Zhou, Rui Liu, Qingqing Song
ICICR 2025, IEEE, 96–103 · 2025
Runhai He, Quanhua Zhou
Journal of Computer Technology and Applied Mathematics 2(2), 24–30 · 2025
Runhai He, Qingqing Song, Quanhua Zhou, Zhenxing Zhang, Shoujing Zhang
SPIE Proceedings 13550, 49–62 · 2025
Runhai He, Zhenxing Zhang, Shoujing Zhang, Qingqing Song
Journal of Industrial Engineering and Applied Science 2(5), 1–9 · 2024
Correspondence
I am based in Helsinki and open to local or remote conversations. Email is the fastest way to reach me.
* Corresponding author: Runhai He, Faculty of Medicine, University of Helsinki · herunhai@outlook.com