To date, there has been a significant discrepancy between the designed behavior of drugs and their actual effects within the patient’s microenvironment
Jingwei Lu, Ph.D.
With a strong background in the engineered T cell therapy industry, Dr. Jingwei Lu has proven to be a leading innovator in both R&D and business development. Before starting Synlico Inc, Dr. Lu was a key player in the R&D department at Eureka Therapeutics, where he played a crucial role in developing the next generation of engineered T cell platforms. His impressive portfolio includes total over 50 patents (include pending) worldwide in engineered T cell therapy. These include 6 US patents (4 granted) as the first inventor on engineered T cell therapy platform technology, as well as 2 US patents (1 granted) as a co-inventor. These patents showcase Dr. Lu’s expertise in the field. In addition to his research contributions, Dr. Lu has also led Eureka’s efforts on technology and market analysis and corporate external cooperation at the Strategic Alliances department. Dr. Lu has been an active member of the American Association for Cancer Research (AACR) since 2014.
Dr. Lu holds a Ph.D. in Molecular, Cellular and Developmental Biology from the Ohio State University and a B.S. in Physics from Peking University, China.
Shiling Guo, M.A.
With 15 years of financial services, due diligence, and operations management experience, Ms. Shiling Guo is a seasoned professional with a strong background in the industry. Prior to joining Synlico, Ms. Guo served as the Head of Retail Banking Customer Due Diligence at Standard Chartered Global Business Services Co., where she championed business migration projects and led the team to perform post-transaction due diligence investigations. Before that, Ms. Guo held the position of Operations Manager at HSBC, overseeing the delivery of financial services in four cities. Her extensive experience makes her a valuable asset to our team.
Ms. Guo holds M.A. in Financial Integrity from Case Western Reserve University School of Law, L.L.B. in International Business Law and B.A. in English for International Business Management from Guangdong University of Foreign Studies.
Aaron Wong, Ph.D.
Dr. Aaron Wong is a highly accomplished scientist with strong background in bioinformatics and single cell transcriptomics especially in lung research. He received his Ph.D under the guidance of renowned researcher Dr. Mingyao Liu at the University of Toronto, where he developed the world first catalog of donor and recipient cell-type specific responses to injury during transplantation at single cell level. Dr. Wong has also developed innovative techniques such as the world first hypothermic dissociation protocol for adult human lung tissue. Dr. Wong has made significant contributions to the field through his numerous publications in leading journals in the field, including European Respiratory Journal, The Journal of Heart and Lung Transplantation, etc.
Dr. Wong holds a Ph.D. in Computational Biology from University of Toronto and a B.S. in Molecular Biology and Genetics with honors from McMaster University in Canada.
Tunc Morova, Ph.D.
Dr. Tunc Morova has over 7 years of field experience in bioinformatics and data science, with an excellent track record of publications in high impact journals. He received his Ph.D under joined guidance of Professor Faraz Hach and Nathan Lack at Vancouver Prostate Centre, University of British Columbia, Canada, where he designed a novel variant-aware version of STARRseq method and created the first functional map of Anderogen Receptor enhancers using STARRseq experimental method. Dr. Morova has strong experience in developing scalable and streamlined pipelines to process various bioinformatics data. He has made significant contributions to the field through his numerous publications in leading journals in the field including Nucleic Acid Research, Nature Communications, etc.
Dr. Morova holds a Ph.D in bioinformatics from University of British Columbia, Canada, an M.S. in Biomedical Science and Engineering from Koc University, Turkey, and a B.S. in Bioengineering from Marmara University, Turkey.
Amin Jaber, Ph.D.
Dr. Amin Jaber is a distinguished researcher in the field of causal inference. Under the guidance of the eminent Professor Elias Bareinboim at Purdue University, Dr. Jaber has addressed and resolved several fundamental problems within the field of causal inference and causal discovery. He is an expert on developing the theoretical foundations, tools, and algorithms necessary for drawing causal conclusions from both observational and experimental data in an automated manner. With a strong background in Artificial Intelligence, Machine Learning, and Cognitive Science, Dr. Jaber’s extraordinary work has been published in premier artificial intelligence and machine learning venues such as NeurIPS, ICML, UAI, and IJCAI, and awarded the 2019 UAI Best Student Paper Award.
Dr. Amin Jaber holds a Ph.D. in computer science from Purdue University, USA, and an M.E. and a B.E. in electrical and computer engineering from the American University of Beirut, Lebanon.
Soorena Izadifar
Mr. Soorena Izadifar has a strong BD transactions background in biotech and pharma with over 18 years of direct deal experience. During his decade tenure at Thermo Fisher Scientific, he held various externally focused positions including Innovation Partnerships, licensing, and Corp Dev, supporting diverse Business Units. Prior to that, he worked as Associate Director in R&D BD at Pfizer, supporting licensing and collaboration efforts. Earlier Soorena was part of the BD team at Wyeth and held roles in M&A and Technology licensing out of Wyeth’s Pharmaceutical headquarters in Collegeville (PA) before Pfizer’s acquisition.
Mr. Soorena Izadifar has an MBA from Cornell University, an M.S. in Microbiology/Immunology from USC, and a B.S. in Molecular Biology from CSU Long Beach.
Chun-Yin Huang, Ph.D.
Dr. Jérôme Rony is a machine learning expert focusing on optimization methods in the context of deep learning. Under the supervision of Professor Ismail Ben Ayed, Dr. Rony has demonstrated the feasibility of solving complex constrained problems involving neural networks with great accuracy and efficiency. His research plays a crucial role in improving the performance of AI models. Dr. Rony’s work has been widely recognized and cited in the community, and published in top-tier artificial intelligence and machine learning venues including CVPR, ECCV, and ICCV.
Dr. Jérôme Rony holds a Ph.D. in computer science and a M.A.Sc in system engineering from ÉTS Montréal, Canada as well as an industrial and mechanical master of engineering degree from Arts et Métiers ParisTech, France.
Rami Balasubramanian, Ph.D.
Dr. Jérôme Rony is a machine learning expert focusing on optimization methods in the context of deep learning. Under the supervision of Professor Ismail Ben Ayed, Dr. Rony has demonstrated the feasibility of solving complex constrained problems involving neural networks with great accuracy and efficiency. His research plays a crucial role in improving the performance of AI models. Dr. Rony’s work has been widely recognized and cited in the community, and published in top-tier artificial intelligence and machine learning venues including CVPR, ECCV, and ICCV.
Dr. Jérôme Rony holds a Ph.D. in computer science and a M.A.Sc in system engineering from ÉTS Montréal, Canada as well as an industrial and mechanical master of engineering degree from Arts et Métiers ParisTech, France.
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