Prof. Benjamin Garcia | Mass spectrometry and proteomics | Outstanding Scientist Award

Prof. Benjamin Garcia | Mass spectrometry and proteomics | Outstanding Scientist Award

Doctorate at Washington University School of Medicine | United States

Professional Profiles

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🎓 Educational Background

Dr. Benjamin A. Garcia boasts an impressive academic background that highlights his commitment to excellence in chemistry and biochemistry. He completed his NIH NRSA Postdoctoral Fellowship at the University of Illinois, Urbana-Champaign, where he also served as an Institute for Genomics Biology Fellow from 2005 to 2008, under the mentorship of Dr. Neil L. Kelleher. He earned his Ph.D. in Chemistry with High Distinction in 2005 as a Ford Foundation Predoctoral Fellow at the University of Virginia, where he worked closely with Dr. Donald F. Hunt on groundbreaking research. His academic journey began with a Bachelor of Science in Chemistry with Honors from UC Davis in 2000, mentored by Dr. Carlito B. Lebrilla, and an Associate Degree in Science from Cypress Community College in 1997.

💼 Professional Positions 

Dr. Garcia has held prestigious academic and leadership roles throughout his career. He currently serves as the Raymond H. Wittcoff Distinguished Professor and Head of the Department of Biochemistry and Molecular Biophysics at Washington University School of Medicine, a position he has held since 2021. In addition, he is the Associate Director of Shared Resources at the Siteman Cancer Center and the Director of the Chromatin and Epigenetics Special Interest Group, roles he assumed in 2023.

Previously, Dr. Garcia was the John McCrea Dickson M.D. Presidential Professor at the University of Pennsylvania (2018–2021), where he also served as Director of Quantitative Proteomics and a faculty member of the Epigenetics Institute. During his tenure at Princeton University (2008–2012), he made significant contributions as an Assistant Professor and core faculty member in the Quantitative and Computational Biology Program. His professional journey reflects his dedication to advancing research and education in biochemistry and molecular biophysics.

🏆 Honors and Recognition 

Dr. Garcia’s contributions to science have earned him numerous accolades and recognition. In 2025, he received the ASBMB Ruth Kirschstein Diversity in Science Award, underscoring his efforts to foster inclusivity in research. He was inducted as a Fellow of the American Chemical Society (ACSF) in 2024 and honored with the Eastern Analytical Symposium (EAS) Award for Outstanding Achievements in Mass Spectrometry the same year. Additionally, he was awarded the NSF Special Creativity Award in 2024 and profiled in the Atlas of Inspiring Hispanic/Latinx Scientists, further solidifying his role as a trailblazer in the scientific community. His distinguished career also includes delivering the NIH Director’s Lectureship in 2024.

🔬 Research Interests 

Dr. Garcia’s research is at the forefront of mass spectrometry-based proteomic methodologies, focusing on the analysis of protein post-translational modifications (PTMs) and their role in biological processes. His lab has pioneered high-throughput and quantitative analysis of epigenetic histone PTMs, providing invaluable insights into cancer pathogenesis, neurodegeneration, cell differentiation, and viral infections.

Some of his most significant contributions include the development of methods for rapid quantification of single-core histone PTMs and variants in a single analysis, innovative software for analyzing electron transfer dissociation data of multiply modified proteins, and the discovery of novel protein modifications. These advancements have revolutionized our understanding of the intricate roles of PTMs in health and disease.

🧬 Professional Memberships 

Dr. Garcia’s involvement in numerous professional organizations reflects his leadership in the field of biochemistry. He is a Fellow of the American Chemical Society (ACS) and the Royal Society of Chemistry. He is also an active member of the American Society for Mass Spectrometry, the American Society for Biochemistry and Molecular Biology, and the Society for Advancement of Chicanos and Native Americans in Science (SACNAS), where he holds lifetime membership. His commitment to advancing scientific knowledge and fostering collaboration is evident through his active participation in these esteemed organizations.

Publications Top Noted📚 

PHF6 cooperates with SWI/SNF complexes to facilitate transcriptional progression

Authors: Mittal, P., Myers, J.A., Carter, R.D., Partridge, J.F., Roberts, C.W.M.

Journal: Nature Communications

Year: 2024

Two DOT1 enzymes cooperatively mediate efficient ubiquitin-independent histone H3 lysine 76 tri-methylation in kinetoplastids

Authors: Frisbie, V.S., Hashimoto, H., Xie, Y., Garcia, B.A., Debler, E.W.

Journal: Nature Communications

Year: 2024

Improved detection of DNA replication fork-associated proteins

Authors: Rivard, R.S., Chang, Y.-C., Ragland, R.L., Bielinsky, A.-K., Brown, E.J.

Journal: Cell Reports

Year: 2024

Histone butyrylation in the mouse intestine is mediated by the microbiota and associated with regulation of gene expression

Authors: Gates, L.A., Reis, B.S., Lund, P.J., Mucida, D., Allis, C.D.

Journal: Nature Metabolism

Year: 2024

TGF-β controls alveolar type 1 epithelial cell plasticity and alveolar matrisome gene transcription in mice

Authors: Callaway, D.A., Penkala, I.J., Zhou, S., Garcia, B.A., Morrisey, E.E.

Journal: Journal of Clinical Investigation

Year: 2024

Mr. Wenjie Du, Computational Chemistry, Best Researcher Award

Mr. Wenjie Du, Computational Chemistry, Best Researcher Award

Mr. Wenjie Du, University of Science and Technology of China, China

Professional Profile

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🎓Educational Background

Wenjie Du pursued his Bachelor’s Degree at Northeastern University in the School of Metallurgy and Environmental Science from 2014 to 2018, where he was mentored by Mei Wang. Following this, he completed his Master’s Degree in Applied Chemistry at the University of Science and Technology of China (USTC) from 2018 to 2021 under the guidance of Wenwei Li. Currently, he is working towards his Ph.D. in Software Engineering at USTC, with Yang Wang as his advisor, a journey he embarked on from 2021 to 2023.

🏆Awards 

Throughout his academic career, Wenjie has received several prestigious accolades. He was honored with the GuSu Outstanding Scholarship in 2021 from the Suzhou Laboratory. Additionally, he was awarded the Shenzhen Stock Exchange Scholarship twice, first in 2022 and again in 2023, from USTC. In 2023, he also received the Tang Xiaoyan Scholarship from Peking University and the esteemed Chinese Academy of Sciences President’s Scholarship.

🔍Research Scope 

Wenjie’s research focuses on Knowledge and Data-Driven AI for Science, exploring several significant areas:

AI for Environmental Science:
His work includes predicting water and air quality, conducting carbon emission calculations, and performing pollution source tracing analysis to improve environmental outcomes.

AI for Chemistry:
He investigates methods for distinguishing between conformational isomers and chiral molecules, predicting molecular properties, and conducting spectral analysis to enhance chemical understanding.

AI for Materials:
Wenjie is involved in catalyst design, specifically in metal ratio control and analysis. He also studies the impact of solvent effects on material adsorption processes to predict properties effectively.

Publications Top Notedđź“ť

Spatiotemporal pattern of greenhouse gas emissions in China’s wastewater sector and pathways towards carbon neutrality

Authors: Wen-Jie Du, Jia-Yuan Lu, Yi-Rong Hu, Juanxiu Xiao, Cheng Yang, Jie Wu, Baocheng Huang, Shuo Cui, Yang Wang, Wen-Wei Li
Journal: Nature Water
Year: 2023

Deciphering urban traffic impacts on air quality by deep learning and emission inventory

Authors: Wenjie Du, Lianliang Chen, Haoran Wang, Ziyang Shan, Zhengyang Zhou, Wenwei Li, Yang Wang
Journal: Journal of Environmental Sciences
Year: 2023

Chemistry-informed molecular graph as reaction descriptor for machine-learned retrosynthesis planning

Authors: Baicheng Zhang, Xiaolong Zhang, Wenjie Du, Zhaokun Song, Guozhen Zhang, Guoqing Zhang, Yang Wang, Xin Chen, Jun Jiang, Yi Luo
Journal: Proceedings of the National Academy of Sciences
Year: 2022

Moltc: Towards molecular relational modeling in language models

Authors: Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang
Journal: arXiv preprint arXiv:2402.03781
Year:  2024

Source identification and prediction of nitrogen and phosphorus pollution of Lake Taihu by an ensemble machine learning technique

Authors: Yirong Hu, Wenjie Du, Cheng Yang, Yang Wang, Tianyin Huang, Xiaoyi Xu, Wenwei Li
Journal: Frontiers of Environmental Science & Engineering
Year: 2023