Taylor A. Harmon
My research focus is on exploring new avenues for quantitative and semi-quantitative bioanalytical LC-MS. Current projects include development of clinical UHPLC-MS/HRMS methods for analysis of purines and antibiotics in biofluids, as well as novel microflow chromatography methodologies for global metabolomics. Benefits of microflow over conventional flow chromatography include reduced solvent consumption, lower sampling requirements, and higher ionization efficiency with mass spectrometric detection. Our goal is to transfer existing laboratory procedures to the microflow régime for greener, safer, and more sensitive biomarker discovery.
Hoda Safari Yazd
I am a Ph.D. candidate in analytical chemistry at the University of Florida and working under the supervision of Prof. Richard Yost and Dr. Timothy Garrett. I have received her B.Sc. in chemistry from Sharif University of Technology in 2015 and my M.Sc. in computational chemistry from the same school in 2017. My research at UF primarily focuses on combining analytical chemistry tools and scientific programming for the metabolomic discovery of rare disorders. I am currently working on two projects; the first project concentrates on the detection of new biomarkers in meningiomas to improve early detection of this disease by employing machine learning as a tool on mass spectrometry-based metabolomics data. The second project is focused on the characterization of rare X-chromosome deletion disorders using metabolomics and lipidomics workflows by UHPLC-HRMS on neural progenitor cells.
Hamzah Hassnein Ahmed
My ongoing research focuses on understanding the role of microbiota in cancer metabolism. I am currently interested in investigating the metabolism of colorectal cancer and how Fusobacterium spp. can alter the metabolism of colorectal cancer. In addition, part of my research is to study the metabolism of different Fusobacterium spp. My goal is to understand the metabolic liabilities in tumor progression by using the state of the art Ultra High-Pressure Liquid Chromatography coupled with High-Resolution Mass Spectrometry (UHPLC-HRMS)-based metabolomics. Hence, elucidating the metabolomic profile under the impact of Fusobacterium spp. in colorectal cancer cells can assist in developing a novel metabolic dependency that can enhance the development of suitable management strategies for colorectal cancer.
Sina Feizbakhsh Bazargani
I received my bachelor’s degree in chemistry from the Sharif University of Technology, which is the most prestigious university in Iran. To pursue my scientific life as an analytical chemist, I joined the University of Florida. I am currently a Ph.D. student under the supervision of Prof. Richard Yost and Dr. Timothy Garrett. My research now focuses on finding biomarkers in pancreatic tissue by using Mass Spectrometry MADLI and DESI Imaging. Simultaneously I am using the LC-MS method to compare the data to the Imaging method by employing statistical analysis. In the future, my focus is primary on implementing machine learning into the MS-MSI analysis.
I studied Materials Science and Engineering at Luoyang Institute of Science and Technology in China. And then I came to the US, during my masters’ study here at UF, I worked with Dr. Brij M. Moudgil at the Particle Engineering Research Center. Currently, I am pursuing my Ph.D. in Analytical Chemistry under the supervision of Prof. Richard A. Yost and Dr. Timothy J. Garrett.
I graduated from Fudan University (Shanghai, China) with B.S. in chemistry followed by receiving a master’s degree in analytical chemistry from UF in 2016. I worked as a cosmetic chemist and then an environmental chemist in Jacksonville Florida before resuming my PhD study in UF chemistry in Fall 2020. I am currently co-supervised by Dr. Tim Garrett and Dr. Rick Yost with a research focus on LC-MS based metabolomics/ lipidomics. My current project utilizes UHPLC-HRMS and statistical analysis tools to study metabolites and lipids composition changes in serum samples of sheep fetuses and their resulting new born lambs. In the future, I will be incorporating microflow LC-MS technology into my research to develop analytical methods with higher sensitivity and lower (sample and solvent) consumptions.