Runhai He

Research // Systems // Web

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 focusMultimodal deep learning for cancer prognosis, combining bone-marrow cell morphology with clinical variables.

Hematoscope Lab, University of Helsinki and HUS

Current affiliation

Medical AI across research and clinical environments

Doctoral research at the Faculty of Medicine, University of Helsinki, within Hematoscope Lab and the Comprehensive Cancer Center at HUS.

Selected work

Three projects that show research depth and engineering range.

Doctoral research · Medical AI

Multimodal Survival Prediction in Multiple Myeloma

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.

PyTorchSelf-supervised ViTMILSurvival analysis

Client delivery · Web & brand

OK Graniitti Oy — Corporate Website & Brand Mark

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.

ReactTypeScriptResponsive UIBrand system

Live sitePrivate repository

Full-stack systems · Healthcare

HealthHub — Hospital Information Management System

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.

Spring CloudMyBatis-PlusWebSocketMicroservices

Source code

Experience

Research, product delivery, and technical publishing.

2025 — Present

Doctoral Researcher, Medical AI

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

Independent & Freelance Developer

Web products and client systems

Designing and shipping production web experiences, AI-assisted tools, responsive interfaces, APIs, data workflows, and deployment systems.

2023 — 2025

MSc Researcher, Applied Mathematics & Informatics

Belarusian State University

Worked across feature engineering, medical image classification, time-series methods, and statistical modeling, resulting in peer-reviewed publications.

Education