Eric Holland | Computational Chemistry | Best Researcher Award

Dr. Eric Holland | Computational Chemistry | Best Researcher Award

Fred Hutchinson Cancer Research Center | United States

Dr. Eric Charles Holland is a globally esteemed physician-scientist whose groundbreaking contributions have significantly advanced the field of neuro-oncology. Currently serving as Professor in the Division of Human Biology and Senior Vice President & Director at the Fred Hutchinson Cancer Research Center in Seattle, WA, Dr. Holland has dedicated his career to integrating molecular biology with clinical neurosurgery to develop innovative therapies for brain tumors, particularly glioblastoma. Dr. Holland earned his BS in Chemistry from Miami University, followed by a PhD in Biochemistry & Molecular Biology from the University of Chicago, and an MD from Stanford University. He pursued postdoctoral training in both HIV gene expression in Paul Berg’s lab at Stanford and glioma modeling in Harold Varmus’s lab at the NIH both Nobel laureates. He completed neurosurgical training at UCLA, laying the groundwork for a career at the intersection of science and clinical practice. He has held academic and clinical appointments at MD Anderson Cancer Center, Memorial Sloan Kettering Cancer Center, Cornell University, and the University of Washington. Notably, he served as Director of the Brain Tumor Center at MSKCC and the Alvord Brain Tumor Center in Seattle, fostering interdisciplinary approaches to brain cancer treatment. He also plays a leadership role in Seattle Translational Tumor Research (STTR). A prolific researcher, Dr. Holland has authored 297 scientific publications, garnering over 37,000 citations, and holds an h-index of 95, reflecting the high impact and sustained relevance of his work. His research has advanced understanding of glioma genetics, tumor microenvironments, and translational therapies. He is also recognized for his contributions to science policy and international collaborations, including efforts to expand cancer care in China. Dr. Holland is a member of the National Academy of Medicine and a recipient of numerous prestigious awards, including the Farber Award, Bressler Scholars Award, and an Honorary Doctorate from Uppsala University.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Kumar, S., Jiang, J., Donald-Paladino, M. S., Chen, J., Gutierrez, A., Federation, A. J., Szulzewsky, F., Holland, E. C., Ferguson, F. M., & Nabet, B. (2025, June 24). Development of PROTACs for targeted degradation of oncogenic TRK fusions [Preprint]. bioRxiv.

Cimino, P. J., Keiser, D. J., Parrish, A. G., Holland, E. C., & Szulzewsky, F. (2025, April 9). C-terminal fusion partner activity contributes to the oncogenic functions of YAP1::TFE3 [Preprint]. bioRxiv.

Zheng, Y., Henikoff, J., Henikoff, S., Ahmad, K., Kugel, S., Szulzewsky, F., Holland, E., Russell, Z. R., Paranal, R. N., Xu, Y., et al. (2025, February 14). RNA Polymerase II at histone genes predicts outcome in human cancer. Science, 379(6673), eads2169.

Arora, S., Holland, E., Vardharajan, S., Taylor, M., Sahm, F., Mack, S. C., Sievers, P., Korshunov, A., Nuechterlein, N., Jensen, M., et al. (2024, October 22). Integrated transcriptomic landscape of medulloblastoma and ependymoma reveals novel tumor subtype-specific biology [Preprint]. bioRxiv.

Szulzewsky, F., Thirimanne, H. N., & Holland, E. C. (2024, March 18). Meningioma: Current updates on genetics, classification, and mouse modeling. Upsala Journal of Medical Sciences, 129(1), Article 10579.

Henikoff, S., Henikoff, J. G., Paranal, R. M., Greene, J. E., Zheng, Y., Russell, Z. R., Szulzewsky, F., Kugel, S., Holland, E. C., & Ahmad, K. (2024, March 3). RNA Polymerase II hypertranscription in cancer FFPE samples [Preprint]. bioRxiv.

Henikoff, S., Henikoff, J. G., Ahmad, K., Paranal, R. M., Janssens, D. H., Russell, Z. R., Szulzewsky, F., Kugel, S., & Holland, E. C. (2023, September 22). Epigenomic analysis of formalin-fixed paraffin-embedded samples by CUT&Tag. Nature Communications, 14, Article 5977.

Sicong Ma | Theoretical and Computational Chemistry | Best Researcher Award

Assoc. Prof. Dr. Sicong Ma | Theoretical and Computational Chemistry | Best Researcher Award

Shanghai Institute of Organic Chemistry, China

👨‍🎓Profiles

🎓 Early Academic Pursuits

Dr. Sicong Ma, born in March 1992, began his academic journey with a strong foundation in applied chemistry at the China University of Petroleum (Beijing), where he completed his Bachelor of Science in 2013. He continued at the same institution for a Master's degree in Chemistry, working under the guidance of Professor Zhen Zhao until 2016. His academic path led him to Fudan University, where he earned his Ph.D. in Physical Chemistry in 2019 under Professor Zhi-Pan Liu. Here, he developed his expertise in theoretical and computational chemistry, laying the groundwork for his future contributions to catalysis and machine learning.

🏢 Professional Endeavors

After completing his Ph.D., He joined Fudan University as a postdoctoral researcher, continuing his work with Professor Zhi-Pan Liu until 2021. In August 2021, he joined the Shanghai Institute of Organic Chemistry as an Assistant Researcher. Recently promoted to Associate Professor, He has led several projects funded by prestigious institutions, including the National Natural Science Excellent Youth Fund, Shanghai Municipal Science and Technology Commission, and the China Postdoctoral Fund.

🔍 Contributions and Research Focus

His research interests span a unique blend of machine learning and catalysis. His expertise extends across both homogeneous and heterogeneous catalysis, with a particular focus on: Machine Learning and Heterogeneous Catalysis: He has conducted research on syngas-to-olefins conversions on OX-ZEO catalysts, propane hydrogenation, and similar transformations, Machine Learning and Homogeneous Catalysis: His work includes studies on the carbonylation of olefins and the development of a metal-phosphine ligand catalyst database, Zeolite Chemistry: He is also active in studying the mechanisms of zeolite formation and their applications in catalysis, contributing significantly to zeolite-related database construction.

📈 Impact and Influence

He has made substantial contributions to the field, publishing more than 20 papers in renowned journals such as Nature Catalysis, Nature Communications, and ACS Catalysis. Notably, he has served as first or corresponding author on 15 of these publications, solidifying his role as a leader in his field. His work has garnered attention and citations, reflecting his influence within theoretical and computational chemistry.

📚 Academic Achievements and Honors

Recognized for his academic excellence, He has received numerous awards and honors. He was honored with the Excellent Doctoral Dissertation Award from Fudan University in 2019, recognized as an Academic Star of Fudan University the same year, and awarded a Shanghai Super Postdoctoral Fellowship. Recently, he was inducted as a member of the Youth Innovation Promotion Association by the Chinese Academy of Sciences in 2023.

🛠️ Technical Skills

His technical expertise includes advanced machine learning algorithms for catalysis, computational modeling in chemistry, and extensive knowledge of catalysis mechanisms in both homogeneous and heterogeneous systems. His computational skills and programming knowledge enable him to create and manage large databases, crucial for his projects on zeolite and catalyst-related data.

📖 Teaching and Mentoring Experience

While focused primarily on research, He has also contributed to the academic community by mentoring postdocs and junior researchers in his lab. His guidance fosters a collaborative environment, ensuring that emerging researchers develop the skills necessary to advance in computational chemistry and catalysis.

🌐 Legacy and Future Contributions

His ongoing work promises to deepen the integration of machine learning in catalysis, with potential implications for sustainable energy solutions and efficient industrial chemical processes. As a young innovator and leader in his field, he is set to make lasting contributions, furthering both academic knowledge and practical applications in computational chemistry.

📖Notable Publications