I am a PhD Candidate at Harvard University. I am currently working on integrating artificial intelligence and biology, with a focus on stem cell research.

Academia

Research

Stem Cells

Liu, R.#, Ren, Z.#, Zhang, X.#, Li, Q., Wang, W., Lin, Z., Lee, R.T., Ding, J., Li, N. and Liu, J., 2024. An AI-Cyborg System for Adaptive Intelligent Modulation of Organoid Maturation. bioRxiv, pp.2024-12.
Li, Q.#, Liu, R.#, Lin, Z.#, Zhang, X.#, Silva, I.G., Pollock, S.D., Alvarez-Dominguez, J.R. and Liu, J., 2024. Cyborg islets: implanted flexible electronics reveal principles of human islet electrical maturation. bioRxiv, pp.2024-03.

Brain-Machine Interfaces

Zhang, X., Shen, H., Zhang, Y., Marin-Llobet, A., Du, J., He, Y., Ding, J., Li, N., Liu, J., 2024, November. Decoding brain intrinsic dynamics for NeuroAI. NIH BRAIN NeuroAI Workshop, Early-Career Scholar Best Poster Award Runner-Up.
Liu, R., Zhang, X., Sheng, H. and Liu, J., 2024, December. In Vivo Neural Stimulation and Recording using Flexible Bioelectronics. In 2024 IEEE International Electron Devices Meeting (IEDM) (pp. 1-4). IEEE.
Zhao, S.#, Shen, H.#, Qin, S., Jiang, S., Tang, X., Lee, M., Zhang, X., Lee, J., Chen, J. and Liu, J., 2024. Realigning representational drift in mouse visual cortex by flexible brain-machine interfaces. bioRxiv, pp.2024-05.

Bio-Inspired AI

Du, J., Zhang, X., Shen, H., Xian, X., Wang, G., Zhang, J., Yang, Y., Li, N., Liu, J. and Ding, J., 2024. Drift to Remember. arXiv preprint arXiv:2409.13997.

Data Analysis Tools

Tang, X.#, Zhang, J.#, He, Y.#, Zhang, X., Lin, Z., Partarrieu, S., Hanna, E.B., Ren, Z., Shen, H., Yang, Y. and Wang, X., 2023. Explainable multi-task learning for multi-modality biological data analysis. Nature communications, 14(1), p.2546.
Lin, Z.#, Marin-Llobet, A.#, Baek, J., He, Y., Lee, J., Wang, W., Zhang, X., Lee, A.J., Liang, N., Du, J. and Ding, J., 2025. Spike sorting AI agent. bioRxiv, pp.2025-02.
Bu, T.#, Zhang, X.#, Mertz, C. and Dolan, J.M., 2021, September. Carla simulated data for rare road object detection. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 2794-2801). IEEE.

Education

2021-2024, Master of Science, Engineering Sciences, Harvard University
2019-2020, Master of Science, Electrical and Computer Engineering, Carnegie Mellon University
2014-2018, Bachelor of Science, Electrical and Computer Engineering, Carnegie Mellon University, with University and College Honors

Teaching

Guest Lecturer, Harvard University

Bio-inspired computing, Fall 2024, Neuroengineering
Signal processing, Spring 2024, Introduction to Bioelectronics

Teaching Fellow, Harvard University

Fall 2024, Neuroengineering
Fall 2022, Systems Development for Computational Science

Teaching Assistant, Carnegie Mellon Unversity

Fall 2020, Deep Reinforcement Learning
Spring 2020, Signals and Systems (Head TA)
Fall 2019, Signals and Systems
Spring 2018, Signals and Systems
Spring 2017, Fundamentals of Programming
Fall 2016, Signals and Systems
Spring 2016, Fundamentals of Programming
Fall 2015, Fundamentals of Programming
Summer 2015, Principles of Computing

Tutoring, Carnegie Mellon University

2015-2020, College Reading and Learning Association Certified Level 2 Advanced Tutor

Mentorship

2022-2024, First-Year Advisor, Harvard University
2020, Academic Peer Advisor, Carnegie Mellon University

Industry

Entrepreneurship

2017-2019, Talent Pool, Startup Co-Founder

Healthcare

Summer 2019, Guangdong Sanjiu Brain Hospital, Tech Intern

Product Development and Marketing

2021, JPMorgan Chase & Co. Software Engineer
2018-2019, Duolingo, Android Developer
Fall 2018, Expii, Engineer Intern
Summer 2018, Facebook (Now Meta), Software Engineer Intern
Summer 2017, Google, Software Engineer Intern
Summer 2016, Google, Engineering Practicum Intern