Tianhong Han
Philadelphia
Summary
Biomedical engineering graduate student with hands-on research experience in computational neuroengineering, machine learning, and biomaterials. Experienced in developing data-driven models for neural signal analysis and supporting experimental workflows in academic lab environments. Motivated by applying engineering and AI tools to better understand biological systems and address real-world healthcare challenges.
Overview
5
5
years of professional experience
Work History
Research Assistant
Cajigas Lab, UPenn
05.2024 - 05.2025
- Developed a CNN-based deep learning model to decode ECoG signals and predict hand gestures
- Engineered a feature extraction pipeline leveraging spectral analysis and time-domain metrics to enhance classification performance
- Implemented a data preprocessing framework for filtering, segmenting, and labeling neural data, ensuring robust model training and evaluation
Student Employee
Penn Bioengineering Laboratory & Makerspace, UPenn
01.2024 - 05.2025
- Performed maintenance of the workspace and the lab equipment
- Assisted students by providing guidance on projects and lab equipment
- Primary teaching lab for the Department of Bioengineering at Penn Engineering, which cultivate the design and entrepreneurship skills of Penn bioengineering students
Research Assistant
Bai Lab, University of North Carolina at Chapel Hill
06.2020 - 05.2023
- Conducted research on three year-long projects on soft robots, micro-folded systems, and electronic skin
- Developed in-situ synthesis method of silver nanoparticles in a gelatin-based transient biomaterial
- Performed electrical and mechanical simulations in Ansys and SolidWorks
- Sorted and graphed neuro-signals using NeuroExplore and MATLAB
- Constructed 3D models used in the final drafts of the publications in SolidWorks and AutoCAD
- Participated in the publication of two papers
Education
M.S. - Biological Engineering
University of Pennsylvania
05.2025
B.S. - Biomedical and Health Sciences Engineering, Tissue Engineering
North Carolina State University & UNC Chapel Hill
05.2023
Skills
- Machine learning and deep learning
- Computational neuroengineering and BCI
- Cell culture and recombinant DNA technology
- SolidWorks, Ansys, and AutoCAD
- Robotics and automation
- Communication skills
- Collaboration and teamwork
- Organizational skills
- Leadership abilities
- Adaptability and flexibility
Publications
- Skin-inspired, sensory robots for electronic implants, Zhang, L. et al., Nat Commun, 15, 4777, 2024, https://doi.org/10.1038/s41467-024-48903-z
- 3D morphable systems via deterministic microfolding for vibrational sensing, robotic implants, and reconfigurable telecommunication, Zhang, L. et al., Sci., https://www.science.org/doi/10.1126/sciadv.ade0838
Timeline
Research Assistant
Cajigas Lab, UPenn
05.2024 - 05.2025
Student Employee
Penn Bioengineering Laboratory & Makerspace, UPenn
01.2024 - 05.2025
Research Assistant
Bai Lab, University of North Carolina at Chapel Hill
06.2020 - 05.2023
M.S. - Biological Engineering
University of Pennsylvania
B.S. - Biomedical and Health Sciences Engineering, Tissue Engineering
North Carolina State University & UNC Chapel Hill