Principle Investigator: Fan Lam
Associate Professor, Department of Bioengineering
Director, Master of Science in Biomedical Image Computing (MS-BIC)
The Grainger College of Engineering, University of Illinois Urbana-Champaign
Affiliated with Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology,
Carl R. Woese Institute for Genomic Biology, Carle Illinois College of Medicine, Cancer Center at Illinois
4061 Beckman Institute
Email: fanlam1[at]illinois.edu
Tel: 217-300-3713
Education
Ph.D., Electrical and Computer Engineering, University of Illinois Urbana-Champaign, 2015
B.S., Biomedical Engineering, Tsinghua University, 2008
Postdoctoral Scholars
Chang Cao (Co-advised with Ryan Dilger and Gene Robinson)
Office: 5247 Beckman Institute
Email: changc7[at]illinois.edu
Education: B.S., Animal Science, Huazhong Agricultural University, 2013
M.S., Neurophysiology, Minzu University of China, 2017
Ph.D., Neuroendocrinology, Virginia Tech, 2021
Research Interest: epigenetics in brain aging and neurodegenerative diseases, epigenetic MRI (eMRI) for brain DNA methylation imaging
Timothy Trinklein (Co-advised with Jonathan Sweedler)
Office: 2424 Beckman Institute
Email: timtk[at]illinois.edu
Education: B.S., Chemistry, University of Wisconsin-Milwaukee, 2018
Ph.D., Analytical Chemistry, University of Washington, 2023
Research Interest: Analytical chemistry, mass spectrometry instrumentation, computational mass spectrometry, neurochemistry and neurodegeneration
Graduate Students
Mithunjha Anandakumar
Office : 4053 Beckman Institute
Email : ma127[at]illinois.edu
Education: B.S., Biomedical Engineering, University of Moratuwa, Sri Lanka, 2022.
Research Interest: Machine Learning, Computational Mass Spectrometry Imaging, Multimodal Brain Mapping.
Xinyu Li
Office: 4053 Beckman Institute
Email: xinyu17[at]illinois.edu
Education: B.S., Biomedical Engineering, University of Arizona, 2019
M.S., Bioengineering, Rice University, 2022
Research Interest: Ultra-high field MRSI, Signal Processing for MRI/MRSI
Suhao Liu
Office: 4035 Beckman Institute
Education: B.S., Engineering Physics, Tsinghua University, 2024
Research Interest: Quantitative MRI/MRSI, multiscale metabolic imaging
Liliana Khaertdinova
Office: 4053 Beckman Institute
Education: B.S., Laser and Plasma Technologies, National Research Nuclear University MEPHI, 2021
Research Interest: MR physics, data acquisition design, computational imaging
Nancy Pham
Office: 4035 Beckman Institute
Email: nancyyp2[at]illinois.edu
Education: B.S., Biomedical Engineering, University of Arizona, 2020
M.D. Student, Carle Illinois College of Medicine, University of Illinois, 2021-Present
Research Interest: Applications of MRI and MRSI for neurological diseases, understanding pathogenesis of neurological diseases and cancers
Yizun Wang
Office: 4035 Beckman Institute
Email: yizunw2[at]illinois.edu
Education: B.S., Biology, China Agricultural University, 2018
M.Eng., Bioengineering, University of Illinois Urbana-Champaign, 2019
Research Interest: Multinuclear/Cell-specific MRSI, applications of MRI and MRSI to brain cancer, and tissue engineering.
Ruiyang Zhao
Office: 4035 Beckman Institute
Email: rz17[at]illinois.edu
Education: B.S., Biomedical Engineering, Shanghai Jiao Tong University, 2020
Research Interest: Machine learning enhanced MRI/MRSI, Multidimensional MR spectroscopic imaging, Generative AI for imaging
Nan Zhang
Office: 4035 Beckman Institute
Education: B.S., Biomedical Engineering, Zhejiang University, 2024
Research interest: Quantitative MRI/MRSI
Alumni
Zepeng Wang PhD, Bioengineering UIUC, 2025. Now at United Imaging Healthcare
Yahang Li PhD, Bioengineering UIUC, 2023. Now at Siemens Healthineers
Richard Xie PhD, Bioengineering UIUC, 2023. Now at Meta
Xinyu Ye, Summer Research Intern, 2022, Now at Oxford
Emma Tumbleson Summer REU Student, 2021. Washington State University
Kaiyu Zhang Summer Exchange Undergraduate Student, 2019. Now at University of Washington, Seattle