Dr. Li’s Lab (https://yanjun-li.com/) at the University of Florida is currently seeking highly motivated and self-driven Ph.D. students (for Fall 2023, Spring 2024, and Fall 2024) and Postdoc Associate (starting immediately). Dr. Li’s research focuses on AI-driven drug discovery and optimization, utilizing deep learning techniques to accelerate the discovery of novel functional molecules for improved human health outcomes. Some of the current research interests in the lab include, but are not limited to:
• Molecule Design and Optimization
o Deep Generative Modeling for Small Molecule and RNA Design, Peptide/Antibody/Domain Protein Fix-backboneand de novo Design, etc.
• Molecular Interaction Modeling
o Prediction of Binding Sites, Affinity, and Poses for Various Molecular Interactions, e.g., Protein-protein, Protein-ligand, RNA-ligand, etc.
• Precision Medicine
o Drug Repurposing and Synergistic Combinations, Genetic Mutations Effect Prediction, Single-Cell RNA-sequencing, Spatial Transcriptomics, etc.
Dr. Yanjun Li is a tenure-track Assistant Professor (AI Initiative) in the Department of Medicinal Chemistry at the College of Pharmacy, University of Florida. Dr. Li earned his Ph.D. in computer science from the University of Florida and then worked as a Senior Research Scientist at the Institute of Deep Learning, Baidu Research USA in Sunnyvale, California. His passion for real-world drug discovery led him to join Calico Life Sciences, an Alphabet-founded research and development lab for human aging research, as a Machine Learning Scientist. In 2023, Dr. Li started his tenure-track Assistant Professorship at the University of Florida.
About the University of Florida
The University of Florida (UF) is a public land-grant research university located in Gainesville, Florida. Established in 1853, UF has been continuously operating on its Gainesville campus since September 1906. In 2022, U.S. News & World Report ranked UF as the 5th best public university and the 28th best university in the US. The College of Pharmacy is ranked among the top 5 in the country, while the Computer Engineering and Computer Science programs are also highly ranked at No.12 and No. 24, respectively, among US public universities. In partnership with NVIDIA, UF has established the most powerful AI machine in US higher education, comprising 140 NVIDIA DGX™ A100 systems, featuring 1,120 A100 GPUs. For more information about the university, please visit https://www.ufl.edu/.
• Strong interests in AI-driven drug discovery, deep learning research, and self-motivated
• Solid Math/Statistics and coding skills in Python/R, PyTorch and TensorFlow.
• Good written and oral communication skills, proactive, perseverant, and eager to learn.
• PhD students: Bachelor’s or master’s degree in computer science, electronic engineering, bioinformatics, computational biology, computational chemistry, statistics, data science, or related disciplines.
• Postdoc Associate: Candidates are expected to have a recent Ph.D. degree or equivalent international degree (within the past 2 years) in computer science, electrical and computer engineering, data science, informatics, computational biology, computational chemistry, chemical engineering, biomedical engineering, or a related field.
The prospective Ph.D. students can apply for either the Computer Science program at the Herbert Wertheim College of Engineering or the Pharmaceutical Sciences program at the College of Pharmacy. If you are interested, please send your CV, TOEFL and GRE scores, and unofficial transcripts to Dr. YanjunLi at email@example.com. The lab welcome applications until the positions are filled. For more detailed information, please follow the link: https://yanjun-li.com/openings.html.
The University of Florida is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.