Fair, constructive, and always motivating.
Always positive and enthusiastic in class.
Always clear, concise, and insightful.
Always fair, constructive, and supportive.
Dr. Alpeshkumar K. Malde, known as Alpesh Malde, is a Lecturer in the School of Environment and Science at Griffith University and a Research Fellow at the Institute for Biomedicine and Glycomics. He leads the Computational Chemistry & Drug Design Group, focusing on molecular dynamics simulations, solvation free energy predictions, binding free energy calculations, and computational tools for drug discovery. With an h-index of 27 and more than 5,500 citations according to Google Scholar, his contributions have advanced computational chemistry and pharmaceutical sciences. Malde obtained his B.Pharm degree from Bombay College of Pharmacy at the University of Mumbai between 1996 and 2000, followed by a PhD in Pharmaceutical Sciences from the University of Mumbai from 2003 to 2007. Prior to joining Griffith University around 2019, he worked at the University of Queensland's School of Chemistry and Molecular Biosciences, where he earned the ResTeach Award and an Early Career Researcher Travel Award.
Malde's key publications include 'Prediction of Solvation Free Enthalpies in Water and Hexane' published in the Journal of Chemical Theory and Computation in 2018, which has been cited over 570 times, 'Simplified Novel Muraymycin Analogues' in 2020, and 'Bisubstrate Uridine-Mimetic-Peptide Conjugates' in 2024. He has contributed to funded research, including a team grant of $812,177 awarded in 2023 to Associate Professor Daniel Kolarich, Dr. Larissa Dirr, Dr. Rebecca Griffiths, and himself for a project on glycoproteomics and structural biology. At Griffith, Malde teaches courses such as Scientific Data Analysis (6003ESC) and Topics in Biotechnology (7102ESC), supervises honours projects on computational chemistry applications, and delivers seminars, including one on drug-target binding at the atomic level in an international conference on computer-aided drug design. His work supports the development and validation of novel computational methods for relative binding free energy calculations.
