HAO LEI
EN中文

This page is the resume. Print it from your browser (Ctrl/Cmd + P) for a clean single-column PDF.

Download

AI / Agent Resume PDF · 中文 AI × Life Science Resume PDF · 中文

Resume

Hao Lei

Building intelligent systems for discovery, health, simulation and autonomous work.

Profile

I build AI systems at the intersection of science, health and autonomous software. The work runs from problem framing through architecture, implementation and evaluation to deployment — usually as one person owning the whole path.

My training started in life-science research: animal models, mechanistic assays and multi-omics analysis. That shapes how I build — data provenance, experimental noise and explicit scope limits are engineering requirements, not documentation.

Most of what I build is open source on GitHub, including ZhiShen · WenNian, an aging-intervention decision engine, and HyCell-JEPA, a cellular world-model prototype.

Focus

  • AI Systems
  • Agentic Systems
  • Digital Health
  • Computational Biology
  • Simulation
  • Research Engineering

Experience

  • Mar 2023 — Aug 2023

    Beijing, China

    Beijing ZONCI Technology Development Co., Ltd.

    Assistant Engineer · R&D Department

    • Contributed to the R&D iteration of coagulation analyzers and the companion in-vitro diagnostic reagents.
    • Responsible for breaking down and driving forward the group task list.
    • Gained first-hand familiarity with the full path of a medical device / IVD product, from development through verification.

  • Mar 2021 — Oct 2021

    Beijing, China

    Sinovac Life Sciences Co., Ltd.

    Formulation Technology Engineer · Formulation Division

    • Handled the upstream aluminium-adjuvant process for the COVID-19 vaccine: preparation, washing, concentration, filling and physicochemical testing.
    • Coordinated a small working group completing semi-finished product formulation.
    • Worked inside a GMP system, which formed strict habits of process compliance and data integrity.

Education

  • Aug 2023 — Jun 2026

    Dalian, Liaoning, China

    Dalian Medical University

    Master of Science (M.S.) in Zoology

    Research Focus

    Disease models · Pharmacology & efficacy evaluation · Multi-omics bioinformatics · Computational biology

    Molecular dynamics · Bayesian network modeling

  • Sep 2016 — Jul 2020

    Taiyuan, Shanxi, China

    Taiyuan University of Technology

    Bachelor of Engineering (B.Eng.) in Biological Engineering

Research Experience

  • Aug 2023 — May 2026

    Dalian Medical University

    Disease Model Development & Pharmacological Mechanism Research

    Project designer and primary implementer

    • Led the design and implementation of three projects: a drug improving lung injury through neutrophil–macrophage interaction; improving intestinal ischemia/reperfusion-related liver injury through the Nrf2 pathway; and improving sepsis through a gut-microbiome-associated mechanism.
    • Independently completed animal-model construction, phenotyping and mechanistic assays (ELISA, Western Blot, IHC, PCR, flow cytometry), plus primary-cell isolation, culture and functional validation.
    • Built R / Python multi-omics analysis pipelines over metabolomics and 16S rRNA sequencing data — differential analysis and microbiome–host interaction mining — and ran GROMACS molecular dynamics with MM/PBSA binding-free-energy calculation.
    • Worked across wet-lab experiments and computational analysis, which provided first-hand understanding of how biological data are generated and where experimental and batch noise enters the pipeline.

Research Output

  • Sulforaphane Ameliorates Intestinal Ischemia/Reperfusion Injury by Activating Nrf2 to Suppress Oxidative Stress and Pyroptosis

    Manuscript submitted

Selected Projects

  • ZhiShen · WenNian

    AI aging assessment, structured interviewing and intervention decision support.

  • HyCell

    AI virtual-cell infrastructure for biological representation, transition modeling and simulation.

  • Morn

    Agent runtime for persistent work — Rust workspace, durable two-node execution, capability packs and scripted verification.

  • BioPulse

    Agent-native workspace for life-science workflows — Python stack, MIT licensed, public repository.

  • PDIG

    Local-first personal dependency and digital-infrastructure graph across native platforms.

  • Pet AI Health

    AI-native pet health platform across observation, risk assessment, consultation and care workflows.

Technical Areas

Engineering

  • Python, TypeScript, Rust, Go — typed services, CLIs, desktop and static delivery.
  • Backend and data — FastAPI, Pydantic, PostgreSQL / pgvector, Redis, FAISS.
  • Delivery — Docker, GitHub Actions, Linux / WSL2; agent and LLM engineering: tool / function calling, multi-agent orchestration, MCP, RAG (BM25 + dense), evaluation harnesses.

Scientific & research methods

  • Multi-omics analysis in R / Python — differential analysis, KEGG / GO annotation, 16S rRNA, metabolomics, microbiome–host interaction.
  • Molecular dynamics and binding free energy — GROMACS, MM/PBSA, AutoDock, PyMOL.
  • Aging clocks and probabilistic modeling — PhenoAge / KDM, Bayesian networks (pgmpy).

Exploration

  • Digital twins and QSP / mechanistic (ODE) modeling — explored as research direction, not production engineering expertise.

Open Source

Contact

haoleilab.com · github.com/huangdi97