Curriculum Vitae

Yu

Beijing, China. me@y2.fo

Summary

Skilled and Interest-Driven Full-Stack&Hardware Developer. Researching on Biomedical Engineering(BME). Experienced in Analog-Digital circuit, High-Speed circuit layout, Biosignal acquisition. Discovering in Brain Science.

Experience&Rewards

  • China Adolescents Science & Technology Innovation Contest, Beijing. Third Prize. 2026
  • The National Scientific and Technological Innovation Talent Training Program for High School Students. 2025-2026
  • Exchange Activities of The National Scientific and Technological Innovation Talent Training Program for High School Students, CSU. Outstanding Trainee. 2025
  • China Adolescents Science & Technology Innovation Contest, Beijing. Third Prize. 2023
  • Certified Software Professional Junior, Beijing. Second Prize. 2023
  • Early Enrichment Program at Primary to Junior-High. Preliminary Exam Passed 2020

Projects&Achievements

TailTip-v0.0.2, 2026.

IMU-sEMG Portable Device. Also used as an Adult Toy to predict orgasm. Convenient and Accuracy compared to other similar products.

FoxyLab.cc, 2026.

https://foxylab.cc

EFHBCI, 2025.

Research-Level Platform support multimodel Brain-Science studying, with high scalability modularity structure and low-cost.

fNIRS Module for EFHBCI

Low-Cost multichannel DS-sync polling sample module.

EEG Module for EFHBCI

Extensible Module with Multi-Chip Clock sync.

Xtrode Design for EFHBCI

High Accuracy Colocalization fNIRS-EEG Optode&Electrode.

PXIE-TBT, 2024.

PXIe Controller providing Thunderbolt Interface, Developing.

EZECG Holter, 2023.

PCB

Holter with Bipolar-Powered ADC, Power-Management, Long-Period Recording.

(Collaborate)FBG Movement Capture

MEMS/FBG Movement Capture Module, Collaborated with Advanced Research Laboratory of High School Affiliated to BIT.

HCM Compute Module, 2023.

Developed as Modularization Compute Module(Discontinued)

Enterprise-Level HomeLAB, 2023.

Skills

  • Knowledge of Python, C/C++, Java, Kotlin, Springboot.
  • Basic Knowledge of Frontend: HTML/JS/CSS, React.
  • Learning Haskell.
  • VCS: Git.
  • EDA: EasyEDA(lceda), Altium.
  • Hardware Schematic and Layout: High-Speed Signal, Analog-Digital mixed-Signal, basics on RF-Signals. Learning Verilog.
  • Medical: Learning (or Knowledge of) Pharmacology, Psychopharmacology, Brain-Science. Biosignal Acquisition.