Shuai Li | Biology and Life Sciences | Innovative Research Award

Innovative Research Award

Shuai Li
Regeneron, United States
Shuai Li
Affiliation Regeneron
Country United States
Scopus ID 60597499200
Documents 6
Citations 221
h-index 4
Subject Area Biology and Life Sciences
Event Global Innovation Technologist Awards
ORCID 0000-0002-1537-3956

The Innovative Research Award recognizes the scholarly and scientific contributions of Shuai Li, a researcher associated with Regeneron and previously affiliated with Duke University. Li has contributed to interdisciplinary research spanning synthetic biology, metabolic engineering, supramolecular chemistry, and automated bioprocess technologies. The research portfolio demonstrates a combination of experimental innovation, engineering methodology, and translational biological applications within the broader field of biology and life sciences.[1]

Abstract

Shuai Li has developed a multidisciplinary academic profile integrating biological engineering, synthetic biology, supramolecular chemistry, and automation systems for laboratory applications. Published works include contributions to metabolic engineering in Escherichia coli, chiral molecular assemblies, CRISPR-associated biological systems, and open-source laboratory automation. The body of work reflects ongoing efforts to optimize biological production systems, enhance molecular recognition strategies, and improve accessibility to bioprocess instrumentation.[2][3]

Keywords

Synthetic Biology; Metabolic Engineering; Bioprocess Automation; Supramolecular Chemistry; CRISPR Systems; NADPH Flux; Chiroptical Switches; Biological Engineering; Automated Sampling Systems; Life Sciences Research.

Introduction

Contemporary life sciences research increasingly depends upon interdisciplinary approaches that integrate chemistry, engineering, automation, and computationally informed biological experimentation. Shuai Li’s scholarly contributions reflect this evolving research landscape through work involving engineered microbial systems, supramolecular interfaces, and laboratory automation platforms.[4]

Li completed academic training at Shandong University and the Institute of Chemistry of the Chinese Academy of Sciences before continuing research activities at Duke University. These educational and research experiences contributed to a broad methodological background that spans chemical sciences and biotechnology-oriented engineering disciplines.[1]

Research Profile

The Scopus author profile associated with Shuai Li reports 221 citations across multiple indexed documents and an h-index of 4, indicating measurable academic engagement and scholarly visibility within biotechnology and chemistry-related research communities.[1]

Research topics explored by Li include metabolic pathway optimization, enzyme regulation, supramolecular assembly, CRISPR/Cas systems, and automated sampling technologies for bioreactors. Publications demonstrate collaborations across academic laboratories and interdisciplinary scientific environments.[5]

  • Research specialization in synthetic biology and metabolic engineering.
  • Contributions to supramolecular and chiral chemistry methodologies.
  • Development of low-cost automated laboratory technologies.

Research Contributions

Among Li’s notable contributions is the development of the BioSamplr, an open-source automated sampling system designed for bioreactors. The platform aimed to provide a lower-cost alternative for laboratory sampling automation, thereby increasing accessibility for smaller research laboratories and educational institutions.[2]

Li also contributed to research focused on improving NADPH flux and xylitol biosynthesis in engineered E. coli systems through dynamic regulatory control strategies. This work addressed feedback regulation mechanisms and metabolic optimization relevant to industrial biotechnology applications.[3]

Additional studies investigated CRISPR-associated endonuclease complexes and their effects on self-targeting spacer stability. These findings contributed to understanding microbial genome regulation and CRISPR system functionality.[6]

In the field of supramolecular chemistry, Li co-authored studies examining chiroptical switches, chiral metallogels, and self-assembled polydiacetylene systems for enantioselective recognition. These works demonstrated applications of molecular self-assembly and chirality transfer in advanced chemical systems.[7][8]

Publications

  1. BioSamplr: An open source, low cost automated sampling system for bioreactors — HardwareX (2021).
  2. Dynamic control over feedback regulatory mechanisms improves NADPH flux and xylitol biosynthesis in engineered E. coli — Metabolic Engineering (2021).
  3. Escherichia coli Cas1/2 Endonuclease Complex Modifies Self-Targeting CRISPR/Cascade Spacers Reducing Silencing Guide Stability — ACS Synthetic Biology (2020).
  4. Supramolecular chiroptical switches — Chemical Society Reviews (2020).
  5. Self-Assembled Polydiacetylene Vesicle and Helix with Chiral Interface for Visualized Enantioselective Recognition of Sulfinamide — ACS Applied Materials & Interfaces (2017).

Research Impact

The academic impact of Li’s work is reflected through citations, interdisciplinary collaborations, and publication in peer-reviewed journals covering biotechnology, synthetic biology, materials science, and supramolecular chemistry. Research outputs have relevance for both academic investigation and industrial biotechnology applications.[3][7]

The integration of engineering principles with biological systems research has contributed to emerging methodologies in automated experimentation and metabolic pathway optimization. Such interdisciplinary work supports broader scientific efforts aimed at improving efficiency, reproducibility, and accessibility in laboratory research environments.[2]

Award Suitability

Shuai Li’s multidisciplinary research background aligns with the objectives of the Global Innovation Technologist Awards, which recognize scientific and technological advancements with measurable academic and practical significance. Contributions spanning metabolic engineering, CRISPR research, supramolecular chemistry, and open-source automation technologies demonstrate consistent engagement with innovation-oriented scientific inquiry.[1]

The combination of peer-reviewed publications, measurable citation performance, and interdisciplinary technical expertise supports recognition within the field of biology and life sciences. Li’s work illustrates the integration of engineering design principles with biological and chemical sciences to address contemporary research challenges.[4]

Conclusion

The scholarly profile of Shuai Li reflects interdisciplinary scientific engagement across synthetic biology, supramolecular chemistry, and laboratory engineering technologies. Through publications in recognized journals and contributions to biological automation systems, Li has participated in research initiatives with relevance to modern biotechnology and life sciences. The body of work demonstrates methodological diversity, collaborative scientific activity, and continuing participation in innovation-oriented academic research.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Shuai Li, Author ID 60597499200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60597499200
  2. Li, S. et al. (2021). BioSamplr: An open source, low cost automated sampling system for bioreactors. HardwareX.
    https://doi.org/10.1016/j.ohx.2021.e00177
  3. Li, S. et al. (2021). Dynamic control over feedback regulatory mechanisms improves NADPH flux and xylitol biosynthesis in engineered E. coli. Metabolic Engineering.
    https://doi.org/10.1016/j.ymben.2021.01.005
  4. ORCID. (n.d.). Shuai Li ORCID profile and educational background.
    https://orcid.org/0000-0002-1537-3956
  5. Crossref Metadata Search. (n.d.). Publication metadata associated with Shuai Li.
  6. Li, S. et al. (2020). Escherichia coli Cas1/2 Endonuclease Complex Modifies Self-Targeting CRISPR/Cascade Spacers Reducing Silencing Guide Stability. ACS Synthetic Biology.
    https://doi.org/10.1021/acssynbio.0c00398
  7. Li, S. et al. (2020). Supramolecular chiroptical switches. Chemical Society Reviews.
    https://doi.org/10.1039/d0cs00191k
  8. Li, S. et al. (2017). Alanine-Based Chiral Metallogels via Supramolecular Coordination Complex Platforms: Metallogelation Induced Chirality Transfer. Journal of the American Chemical Society.
    https://doi.org/10.1021/jacs.7b10769

Zeyang Zhou | Biomedical Engineering | Innovative Research Award

Dr. Zeyang Zhou | Biomedical Engineering | Innovative Research Award

Assistant Researcher at Tianjin University, China

Dr. Zeyang Zhou is a rising scholar in the field of intelligent surgical technologies, currently serving as an Assistant Researcher at the School of Mechanical Engineering, Tianjin University, China. His work bridges advanced engineering with clinical applications, focusing on developing smart surgical navigation systems, mixed reality (MR)/virtual reality (VR)-aided precision surgery, and intelligent medical image processing. With numerous high-quality publications in international journals, Dr. Zhou has made impactful contributions to neurosurgery, brachytherapy, and interventional procedure planning through innovative imaging and modeling techniques.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Mechanical Engineering
    Tianjin University (2023 – Present)
    With Visiting Research Experience at University of Cambridge, UK

  • M.S. in Mechanical Engineering
    Tianjin University (2017 – 2019)

  • B.S. in Mechanical Engineering
    Tianjin University (2013 – 2017)

Professional Experience 💼

  • Assistant Researcher
    School of Mechanical Engineering, Tianjin University
    July 2023 – Present

  • Postdoctoral Research Fellow
    School of Mechanical Engineering, Tianjin University
    July 2023 – Present (Note: The dates overlap; this may indicate a dual appointment or transition)

Research Interests 🔬

  • Surgical navigation systems

  • Mixed reality (MR) and virtual reality (VR) in precision and minimally invasive surgery

  • Medical robotics, especially for minimally invasive procedures

  • Intelligent medical image processing and modeling

  • Machine learning applications in surgical planning and guidance

  • Real-time motion modeling in clinical environments

Selected Contributions and Highlights

  • Developed and validated multiple MR-based surgical navigation systems for glioma resection, intracerebral hemorrhage, and brachytherapy.

  • Proposed novel stereo registration methods and machine learning models for respiratory motion compensation and needle insertion planning.

  • Published in reputable journals such as Medical Physics, Computers in Biology and Medicine, Virtual Reality, and Journal of Digital Imaging.

  • Pioneered VR-based surgical simulation systems and compared different immersive environments (e.g., zSpace vs. Vive).

  • Co-authored more than 11 peer-reviewed international publications from 2021 to 2024, reflecting a strong research trajectory.

Conclusion🌟

Dr. Zeyang Zhou exemplifies an innovative and interdisciplinary researcher at the forefront of surgical engineering. His work in merging real-time imaging, machine learning, and immersive technologies is reshaping precision medicine and intelligent surgery. With a robust academic foundation, growing international collaborations, and a compelling record of publications, Dr. Zhou is well-positioned for continued academic and translational success. Further recognition through national or international awards would be both merited and strategically valuable to support the expansion of his research impact.

Publications 📚

  • 🧠 Brain Tumor Resection Segmentation
    Li Y., Jiang S., Yang Z., Wang L., Liu Z., Zhou Z.
    Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semi-supervised Cross nnSU-Net
    📘 International Journal of Imaging Systems and Technology, 2024


  • 💉 Needle Insertion Deflection Modeling
    Jiang S., Gao Y., Yang Z., Li Y., Zhou Z.
    Prediction of Needle Insertion Deflection in Soft Tissue Based on Cutting Force
    📘 Computer Methods in Biomechanics and Biomedical Engineering, 2024
    🔗 DOI: 10.1080/10255842.2024.2386326


  • 🫁 Respiratory Motion Modeling via Neural Network
    Jiang S., Li B., Yang Z., Li Y., Zhou Z.
    A Back Propagation Neural Network-Based Respiratory Motion Modelling Method
    📘 International Journal of Medical Robotics and Computer Assisted Surgery, 2024, 20(3): e2647


  • 🤖 High-Dimensional Motion Modeling
    Zhou Z., Jiang S., Yang Z., Zhou N., Ma S., Li Y.
    Machine Learning-Based High-Dimensional Respiratory Motion Modeling
    📘 Expert Systems with Applications, 2024, 242: 122757


  • 🎮 VR Simulation for Needle Insertion
    Zhou Z., Yang Z., Jiang S., Jiang B., Xu B., Zhu T., Ma S.
    Personalized VR Training System for Percutaneous Needle Insertion: zSpace vs. Vive
    📘 Computers in Biology and Medicine, 2022, 146: 105585


  • 🧠 AR for Glioma Resection
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    Augmented Reality Surgical Navigation System with Spatial Drift Compensation
    📘 Medical Physics, 2022, 49(6): 3963–3979


  • 🧩 Mixed Reality in Hemorrhage Surgery
    Zhou Z., Yang Z., Jiang S., Zhuo J., Li Y., Zhu T.
    Validation of MR-based Navigation System for Hypertensive Intracerebral Hemorrhage
    📘 Virtual Reality, 2023, 27(3): 2059–2071


  • 🧬 Multimodal Image Navigation
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S., Li Y.
    Navigation System for Neurosurgery Based on Mixed Reality
    📘 Visual Informatics, 2023, 7(2): 64–71


  • 🧠 MR Surgical Navigation for Hemorrhage
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    Surgical Navigation for Intracerebral Hemorrhage Using Mixed Reality
    📘 Journal of Digital Imaging, 2022, 35(6): 1530–1543


  • 🎯 Brachytherapy Planning with DVH
    Zhou Z., Yang Z., Jiang S., Yu X., Qi E., Li Y., Zhu T.
    DVH-Based Inverse Planning for LDR Pancreatic Brachytherapy
    📘 International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022, 17(3): 609–615


  • 📐 Stereo Registration in Brachytherapy
    Zhou Z., Jiang S., Yang Z., Xu B., Jiang B.
    Mixed Reality Surgical Navigation Using Novel Stereo Registration for Brachytherapy
    📘 Virtual Reality, 2021, 25(4): 975–984