Milana Frenkel-Morgenstern | Liquid Biopsy | Women Researcher Award

Dr. Milana Frenkel-Morgenstern | Liquid Biopsy | Women Researcher Award

Dr. Milana Frenkel-Morgenstern is an Israeli scientist and Principal Investigator at the Scojen Institute of Synthetic Biology, Reichman University. She specializes in bioinformatics, systems biology, and synthetic biology. With a rich background spanning molecular genetics, computer science, and structural biology, she has held key positions in institutions such as Bar-Ilan University, Weizmann Institute of Science, and the Spanish National Research Centre. She is renowned for her pioneering work in liquid biopsies, chimeric RNAs, and non-invasive diagnostic tools. Dr. Frenkel-Morgenstern has published extensively, served on prestigious evaluation panels, and received numerous fellowships and awards, including the Miguel Servet Fellowship and the Rector Prize for Scientific Innovation. Her leadership in both academic and public scientific communities, combined with a strong record of mentorship and university service, highlights her influential presence in biomedical research. She is also the founder of the “Art in Science” session at ISMB, reflecting her commitment to interdisciplinary innovation.

Profile

🎓 Education

Dr. Frenkel-Morgenstern earned her PhD in Molecular Genetics at the Weizmann Institute of Science under Prof. Shmuel Pietrokovski, specializing in bioinformatics and systems biology. Prior to that, she completed her MSc in Mathematics and Computer Science with a thesis in molecular biology from Bar-Ilan University, mentored by Prof. Ron Unger and Prof. Amihood Amir. Her undergraduate studies were also at Bar-Ilan University, where she earned a BSc in Mathematics and Computer Science. Her multidisciplinary education seamlessly blends life sciences, computational modeling, and mathematical analysis, forming the foundation for her later innovations in biomedical research. This strong computational background, coupled with a deep understanding of molecular biology, positioned her to excel in complex systems analysis, machine learning, and genomics, leading to a distinguished academic and research career. Her training has enabled her to lead translational biomedical projects, particularly in the fields of cancer research, structural bioinformatics, and synthetic biology.

🧪 Experience

Dr. Milana Frenkel-Morgenstern has over two decades of academic and research experience. She is currently Principal Investigator and Senior Lecturer at Reichman University. Prior to this, she was a senior faculty member at Bar-Ilan University’s Azrieli Faculty of Medicine for a decade. Internationally, she served as a staff scientist at the Spanish National Cancer Research Centre (CNIO) and was a postdoctoral fellow in the labs of Prof. Alfonso Valencia and Prof. Uri Alon. She has also been a scientific advisor and educator at the Weizmann Institute’s Davidson Institute. Dr. Frenkel-Morgenstern has taught a range of graduate-level courses in genomics, bioinformatics, and computational biology. She has been deeply involved in institutional governance, serving on data science boards, senate committees, and multiple departmental leadership roles. Her professional journey reflects a blend of research excellence, teaching dedication, and scientific outreach, including organizing the “Art in Science” initiative for ISMB/ECCB.

🏅 Awards and Honors

Dr. Frenkel-Morgenstern has received numerous prestigious awards recognizing her research and innovation. She was awarded the Rector Prize for Scientific Innovation by Bar-Ilan University in 2021, and the Bioinfo4Women Fellowship by the Barcelona Supercomputing Center from 2016–2019. Her work on RNA sequencing earned her the Miguel Servet Fellowship (2011–2015), and she received international postdoctoral fellowships from Caja Navarra Foundation and Horvitz Foundation. Her academic contributions have been recognized through several Travel Awards from ISMB, ECCB, and RECOMB, and she earned Outstanding Poster Awards in international conferences. As a guest editor for leading journals and evaluator for major funding bodies (ERC, ISF, GIF, etc.), her influence extends beyond research to shaping the global scientific agenda. She also received the Excellent Lecturer Award (2017) at Bar-Ilan University and serves as an academic reviewer and thesis evaluator for institutions across Israel, Europe, and Asia, demonstrating global academic leadership.

🔬 Research Focus

Dr. Frenkel-Morgenstern’s research centers on liquid biopsy technologies, cell-free nucleic acids (cfDNA/cfRNA), and systems and synthetic biology. Her lab investigates molecular biomarkers for cancer, arthritis, and prenatal diagnostics, developing computational platforms that utilize next-generation sequencing, AI, and machine learning. She explores chimeric RNAs, chromosomal translocations, and non-optimal codon usage, linking genetic regulation with disease mechanisms. Her interdisciplinary work bridges microbiome analysis, metagenomics, genome profiling, and protein-protein interaction networks, with translational applications in personalized medicine. In addition, she applies big data analytics to understand the cell cycle, identify druggable targets, and improve early diagnostics using non-invasive methods. Dr. Frenkel-Morgenstern is also investigating novel areas such as the relationship between melanin, Vitamin D, and mRNA technologies, relevant to both clinical and cosmetic science. Her research is both hypothesis-driven and data-intensive, aiming to convert large-scale biological data into practical medical insights and biotechnology solutions with significant societal impact.

Conclusion

Dr. Milana Frenkel-Morgenstern is a leading scientist in bioinformatics and synthetic biology whose interdisciplinary research in liquid biopsies, systems biology, and AI-driven genomics continues to impact cancer diagnostics and translational medicine globally.

Publications
  • Applications for Circulating Cell-Free DNA in Oral Squamous Cell Carcinoma: A Non-Invasive Approach for Detecting Structural Variants, Fusions, and Oncoviruses

    Cancers
    2025-06 | Journal article | Author
    CONTRIBUTORS: Mahua Bhattacharya; Dan Yaniv; Dylan P. D’Souza; Eyal Yosefof; sharon tzelnick; Rajesh Detroja; Tal Wax; Adva Levy-Barda; Gideon Baum; Aviram Mizrachi et al.
  • ChiTaRS 8.0: the comprehensive database of chimeric transcripts and RNA-seq data with applications in liquid biopsy

    Nucleic Acids Research
    2025-01-06 | Journal article
    CONTRIBUTORS: Dylan DSouza; Lihi Bik; Olawumi Giwa; Shahaf Cohen; Hilit Levy Barazany; Tali Siegal; Milana Frenkel-Morgenstern
  • The applications of circulating cell-free DNA for oral squamous cell carcinoma patients as non-invasive diagnostics of structural variants, fusions and oncoviruses

    2023-11-30 | Preprint
    CONTRIBUTORS: Mahua Bhattacharya; Dan Yaniv; Eyal Yosefof; Sharon Tzelnick; Rajesh Detroja; Dylan P. D’Souza; Gidi Baum; Aviram Mizrachi; Gideon Bachar; Milana Frenkel Morgenster

Fucai Li | Structural Health Monitoring and Fault Diagnosis | Best Researcher Award

Dr. Fucai Li | Structural Health Monitoring and Fault Diagnosis | Best Researcher Award

Prof. Fucai Li is a distinguished academic at Shanghai Jiao Tong University 🇨🇳, specializing in vibration and ultrasonic signal processing, structural health monitoring, and intelligent sensor systems 🔍. With extensive global research experience across China 🇨🇳, Japan 🇯🇵, and Australia 🇦🇺, he has significantly contributed to mechanical engineering through innovative diagnostics and smart material systems 🛠️. He has published over 150 peer-reviewed papers and led numerous national and industrial research projects 📚🔬. His work bridges academia and industry, with collaborations involving giants like Bao Steel and Shanghai Electric ⚙️.

Profile

Education 🎓

Prof. Li earned his Ph.D. in Engineering from Xi’an Jiaotong University in 2003 🎓, where he also completed his Bachelor’s degree in Mechanical Engineering in 1998 🏫. His strong academic foundation from one of China’s premier technical universities laid the groundwork for a career focused on high-impact research 🧠. Throughout his education, he developed core expertise in mechanics, signal processing, and automation, setting the stage for innovations in sensor technologies and structural diagnostics 📡🔧.

Experience 👨‍🏫

Prof. Li currently serves as Professor at Shanghai Jiao Tong University (2015–present) 🏫. He was an Associate Professor there from 2009–2015 and held earlier roles including Assistant Professor (2003–2005) 🎓. His international experience includes research fellowships in Japan (JSPS, University of Tokyo, 2007–2009) 🇯🇵 and Australia (University of Sydney, 2005–2007) 🇦🇺. This global exposure enriched his expertise in structural innovation and smart systems 🌐. Across academia, he has shaped future engineers and researchers with cutting-edge knowledge and practical application insights 📘🔍.

Awards & Recognitions 🏅

Prof. Li has secured over 30 research grants from top national bodies like NSFC, Ministry of Science and Technology, and major industries including Bao Steel and Shanghai Electric 💼💡. He is widely recognized for his pioneering work in structural health monitoring and has published more than 150 influential journal papers 📑. His contributions to smart sensor networks and machine diagnostics have earned him national acclaim and trust from key industrial stakeholders 🤝. Through sustained innovation and impact, he has built a legacy of excellence in engineering research and collaboration 🏅.

Research Interests 🔬

Prof. Li’s research targets intelligent diagnostics and health monitoring of mechanical systems 🤖. His focus areas include vibration and ultrasonic signal analysis, fiber optic and piezo-electric sensor networks, and AI-driven fault detection systems 📊📡. He develops smart sensing technologies for predictive maintenance and infrastructure resilience, with applications ranging from aerospace to heavy machinery 🏗️✈️. His work integrates signal processing, materials science, and systems engineering to enable next-gen monitoring solutions. With over 150 publications and extensive funding, his research continues to push the frontier of smart mechanical engineering 🚀.

Publications 

Mingshuna Shun Jiang | Intelligent Sensors and Detection Technology | Best Researcher Award

Prof. Mingshuna Shun Jiang | Intelligent Sensors and Detection Technology | Best Researcher Award

Mingshun Jiang is a professor at the School of Control Science and Engineering, Shandong University 🎓. He is a doctoral supervisor and a young expert of Mount Taishan Scholars 🌟. He serves as the director of the Shandong Engineering Research Center for Intelligent Sensor and Detection Technology 🔬 and deputy director of the Institute of Intelligent Perception 🏛️. His research primarily focuses on intelligent sensors and detection technologies, with over 20 funded projects, including the National Natural Science Foundation and the National Key R&D Program 🏆. He has authored 60+ high-level academic papers in renowned journals 📑. His innovative contributions aim at monitoring complex structural states in high-end equipment 🚀. With extensive industry collaborations, his work has applications in aerospace, rail transit, and military technology 🛰️🚆.

Profile

Education 🎓

Mingshun Jiang earned his doctoral degree in Control Science and Engineering from Shandong University 🎓. His academic journey focused on developing intelligent sensor systems and detection methodologies 📡. His research expertise was cultivated through interdisciplinary learning, integrating control science, artificial intelligence, and structural health monitoring 🤖. His doctoral research emphasized advanced ultrasonic-guided wave detection and probabilistic diagnostic imaging techniques 🏗️. Jiang’s educational background provided him with expertise in designing smart sensor networks, optimizing detection mechanisms, and enhancing structural health monitoring systems ⚙️. With strong mathematical and engineering foundations, he developed novel algorithms for real-time damage localization and predictive maintenance 📊. His continuous learning and research efforts have been instrumental in bridging technological gaps in aerospace, rail transit, and high-end industrial applications 🚆✈️.

Experience 👨‍🏫

Mingshun Jiang has extensive research and academic experience, currently serving as a professor at Shandong University 🏛️. He has led over 20 major research projects, including the National Natural Science Foundation and National Key R&D Program 🌍. As the director of the Shandong Engineering Research Center, he focuses on intelligent sensor development and detection technologies 🔍. His research has been successfully applied in aerospace, rail transit, and high-end industrial monitoring 🚀🚆. He has supervised numerous doctoral students and collaborated with various enterprises on engineering solutions 🏗️. Jiang has also played a key role in technical verification and real-world applications of his research findings 📡. His leadership in academia and industry-driven research has established him as a leading expert in intelligent perception and structural health monitoring 🏆.

Awards & Recognitions 🏅

Mingshun Jiang has received multiple prestigious recognitions, including being a young expert of Mount Taishan Scholars in Shandong Province 🌟. His work has been supported by national and provincial funding agencies, highlighting his contributions to intelligent sensor technology 🏆. He has been awarded numerous grants under the National Natural Science Foundation and National Key R&D Program 🎖️. Jiang’s research achievements have been recognized through invited talks at leading academic conferences and industry collaborations 🤝. He has served as an executive director of the China Inspection and Testing Society, further solidifying his reputation in the field 🔬. His high-impact publications in top-tier journals have earned him accolades for innovation and research excellence 📑. Jiang continues to receive recognition for his contributions to the monitoring of complex structural states in high-end equipment 🚀.

Research Interests 🔬

Mingshun Jiang’s research focuses on intelligent sensors, structural health monitoring, and detection technology 📡. His work integrates artificial intelligence, probabilistic diagnostic imaging, and ultrasonic-guided wave techniques for real-time damage localization and predictive maintenance 🏗️. Jiang has developed innovative methodologies for monitoring key structural indicators such as boundary loads, damage detection, and component failures 🚆. His research aims to bridge the gap between technological innovation and application in aerospace, rail transit, and industrial monitoring 🛰️. His team has successfully engineered high-end monitoring systems that have undergone technical validation and real-world implementation 🔍. Jiang’s expertise extends to developing smart sensing layers for structural health monitoring, contributing to safer and more efficient industrial systems ⚙️. Through his interdisciplinary research, he continues to advance intelligent perception systems for next-generation monitoring applications 🚀.

Publications 
  • Ruijie Song, Lingyu Sun, Yumeng Gao, Juntao Wei, Chang Peng, Longqing Fan andMingshun Jiang*. Unsupervised temperature-compensated damage localization method based on damage to baseline autoencoder and delay-based probabilistic imaging. Mechanical Systems and Signal Processing, 230: 112649, 2025.
  • Hong Zhang ,Feiyu Teng , Juntao Wei , Shanshan Lv , Lei Zhang , Faye Zhang  and Mingshun Jiang*. Damage Location Method of Pipeline Structure by Ultrasonic Guided Wave Based on Probability Fusion.  IEEE Transactions on Instrumentation and Measurement, 73, 9504914, 2024.
  • . LingyuSun , Juntao Wei , Chang Peng , Wei Hao , Feiyu Teng , Longqing Fan , Lei Zhang , Qingmei Sui  and Mingshun Jiang. Ultrasonic guided wave-based probabilistic diagnostic imaging method with Single-Path-Scattering sparse reconstruction for Multi-Damage detection in composite structures.  Mechanical Systems and Signal Processing, 223, 111858, 2024.
  • XiaoshuQin , Shanshan Lv , Changhang Xu , Jing Xie , Lei Jia , Qingmei Sui  and Mingshun Jiang*. Implications of liquid impurities filled in breaking cracks on nonlinear acoustic modulation response: Mechanisms, phenomena and potential applications.  Mechanical Systems and Signal Processing, 200, 110550, 2023.
  • Shanshan Lv , Juntao Wei  and Mingshun Jiang*. Damage localization method for plate-like composite structure based on valid path optimization and search point matching.  Mechanical Systems and Signal Processing, 182, 109562, 2023.