Yingjie Ma

Suzhou, Jiangsu Province, China

yingjie.ma@nju.edu.cn

I am an Assistant Professor in the School of Robotics & Automation at Nanjing University. From 2022 to 2025, I was a Postdoctoral Associate at Massachusetts Institute of Technology, where I worked with Prof. Richard Braatz. Prior to that, I earned my PhD in 2022 from The University of Manchester under the supervision of Dr. Jie Li.

My research interest lies at the intersection of learning, optimization, and control, with applications in chemical and biological processes. Specifically, my interests include:

Nonlinear and nonconvex optimization, including nonlinear programming, dynamic optimization, and mixed-integer nonlinear programming
Model predictive control, particularly nonlinear model predictive control (NMPC)
Machine learning (AI for science)
Optimization and control under uncertainty
Applying advanced algorithms and theory to real-world problems in chemical/biological processes

news

Aug 01, 2025	Excited to share that I’ve joined Nanjing University as an Assistant Professor!

selected publications

CCE

Novel feasible path optimisation algorithms using steady-state and/or pseudo-transient simulations

Yingjie Ma, Matthew McLaughlan, Nan Zhang, and Jie Li

Computers & Chemical Engineering, 2020

Bib

@article{ma2020novel,
  title = {Novel feasible path optimisation algorithms using steady-state and/or pseudo-transient simulations},
  author = {Ma, Yingjie and McLaughlan, Matthew and Zhang, Nan and Li, Jie},
  journal = {Computers \& Chemical Engineering},
  volume = {143},
  pages = {107058},
  year = {2020},
  publisher = {Elsevier},
}

AIChE J

Homotopy continuation enhanced branch and bound algorithms for strongly nonconvex mixed-integer nonlinear optimization

Yingjie Ma and Jie Li

AIChE Journal, 2022

Bib

@article{ma2022homotopy,
  title = {Homotopy continuation enhanced branch and bound algorithms for strongly nonconvex mixed-integer nonlinear optimization},
  author = {Ma, Yingjie and Li, Jie},
  journal = {AIChE Journal},
  volume = {68},
  number = {6},
  pages = {e17629},
  year = {2022},
  publisher = {John Wiley \& Sons, Inc. Hoboken, USA}
}

CES

Quasi-steady-state approach for efficient multiscale simulation and optimization of mAb glycosylation in CHO cell culture

Yingjie Ma, Jing Guo, Andrew J Maloney, and Richard D Braatz

Chemical Engineering Science, 2025

Bib

@article{ma2025quasi,
  title = {Quasi-steady-state approach for efficient multiscale simulation and optimization of mAb glycosylation in CHO cell culture},
  author = {Ma, Yingjie and Guo, Jing and Maloney, Andrew J and Braatz, Richard D},
  journal = {Chemical Engineering Science},
  volume = {318},
  pages = {122162},
  year = {2025},
  publisher = {Pergamon}
}