Staff/internship opportunities available! See below for details.

Kaicheng LIANG
Principal Investigator and Senior Scientist
Institute of Bioengineering and Bioimaging (IBB)
Bioinformatics Institute (BII)
A*STAR AI, Analytics and Informatics Horizontal Technology Programme Office
Singapore National Research Foundation Fellow (Class of 2021)
Adjunct Assistant Professor, Lee Kong Chian School of Medicine, Nanyang Tech. Univ.

PhD, MS Electrical Engineering, Massachusetts Institute of Technology (2018)
BS Biomedical Engineering, Duke University (2010)

Google Scholar

Bio: Kaicheng’s interests are in techniques and devices for minimally invasive, endoscopic microscopy in living systems and patients, with a specialization in ultrahigh speed optical coherence tomography (OCT). His experience spans photonics and fiber optics, clinical gastroenterology and endoscopy, medical devices and robotics, and artificial intelligence for image interpretation. His vision is that cutting-edge photonics empowered by machine learning will enable instant microscopic analytics of living tissue at the molecular level and on the scale of entire organs, thereby enhancing the quality and coverage of real-time feedback to clinicians during procedures, and improving patient outcomes.
Born and bred in Singapore, Kaicheng is a Singapore National Research Foundation (NRF) Fellow, with substantial funding from the Singapore Government to pursue independent research and advance the country’s scientific and technological edge. He is also a recipient of the A*STAR scholarship, which generously supported many years of education in the United States, as well as the MIT Helen Carr Peake Research Prize and the American Gastroenterology Association Certificate of Recognition for Early Career Investigators for his development of minimally invasive upper endoscopy in awake patients, enabled by his micromotor tethered capsule endoscopic OCT imaging platform.
Kaicheng is the creator of a family of popular Twitter bots (in collaboration with subject matter experts) that use machine learning to automatically scrape and disseminate new research to the respective scientific communities. Check out @biophotonicat for research in biomedical photonics, @higgsinocat for dark matter physics (collab. with Hongwan Liu), and @electrochemicat (collab. with Edwin Khoo) for batteries and energy storage.


Jessica KNG Sze Jia

Jessica graduated with a Bachelor’s degree (Hons) in Life Sciences and a minor in Forensic Science from NUS. At IBN, Jessica worked with a plethora of microbes ranging from cancer cells to bacteria. During the circuit breaker in Singapore, Jessica assisted with numerous COVID-19 projects. These include mask BFE, mask disinfection study amongst others to support the mask distribution exercise by the government. Jessica has a strong aptitude and interest in scientific research, driven to improve human lives.

Rachel TAN

Rachel obtained her M.Eng degree (Electrical and Computer Engineering) and B.Eng degree (Engineering Science, Photonics & Optics) from National University of Singapore. Her research interests include miniaturised optical/sensor systems, product development and medical device translation. She hopes to integrate multi-disciplinary cutting-edge research in a commercial device and at the same time, enable affordable healthcare with frugal innovation.

Joel ANG Lang Yi

Upon graduating from the National University of Singapore with a B.Sc. (Hons) degree in Data Science and Analytics, Joel joined A*STAR to pursue his passion for machine learning research. There, he worked on developing generative models and implementing image processing techniques to aid the analysis of medical data. Joel hopes to continue developing his expertise in the domain of unsupervised learning and generative modeling while continuing to work on high-impact solutions in the biomedical industry.

Alexander YONG Si Kai

Alex graduated from the National University of Singapore with a B.Eng. (Hons) in Biomedical Engineering. He joined A*STAR’s Institute of Bioengineering and Bioimaging after gaining an interest in medical research while working at the Singapore Immunology Network for his undergraduate final year thesis. He is interested in furthering his studies in the near future. Alex enjoys integrating principles and tools from the traditional disciplines of biology, engineering, and computing to solve multidisciplinary problems.

Rachel SIM Rui Yi

Rachel leads a collaboration from Dr. Yang Yi Yan’s group at IBB. She received her MSci in Chemistry with Medicinal Chemistry from Imperial College London. She obtained her PhD in Chemical Biology from University of Oxford where she worked on target elucidation of proneurogenic molecules for regenerative therapy. She is interested in the design and application of new chemical tools for target identification and imaging in biological systems. Working alongside scientists and clinicians, she hopes such techniques can be integrated in a multidisciplinary approach to improve clinical diagnosis of cancer and neurodegenerative diseases.


Chiyo TAN

Chiyo is a recipient of the A*STAR Science Award (Polytechnic), currently completing her final year in the Diploma of Biotechnology at Singapore Polytechnic. She enjoys many aspects of Biology and has gained experiences in dietary research and veterinary practice. As a passionate and curious individual, Chiyo hopes to explore the research industry while striving towards her goal of studying Veterinary Medicine.


Rachael Soh, pre-university, 6 month full-time internship (2021)
Cyrus Tan, NUS BME undergraduate, 6 month part/full-time internship (2021)
Whitney Loh, NUS Engineering Science undergraduate, 3 month full-time internship (2021)
Tian Wen Yi, NUS BME undergraduate, 2 month full-time internship (2021)
Christine M Lim, NTU BME undergraduate, 3 month internship co-supervised with Dr Jamie Mong (2021)
Siddarth Sridhar, UWCSEA student, 2 month full-time internship (2021)
Rebecca Koh, Ngee Ann Polytechnic student, 2 month full-time internship (2021)
Chloe Tan, Hwa Chong Institution (JC) student, 8 month part-time internship (2021)


The team is new, growing, and highly interdisciplinary. We are looking to hire postdocs, PhD students, researchers, and student interns.
Staff (postdocs and researchers): engineering, physics, chemistry, computer/data science, life sciences – any STEM background is great, as long as 1. you are great at it, and 2. you are excited to learn and do a bit of everything else.
Students: engineering folks may have the most fun, but if you have other background and want to try us out, then try us out!
Every day is something different. Contact us to find out more!