Hafiz Hammad | Bioinformatics in Pharmaceuticals | Research Excellence Award

Published on by Top Pharmaceutical

Mr. Hafiz Hammad | Bioinformatics in Pharmaceuticals | Research Excellence Award

National Centre for Bioinformatics | Pakistan

Mr. Hafiz Hammad is an emerging bioinformaticist and computational biologist whose academic training and professional pursuits reflect a strong interdisciplinary foundation spanning biotechnology, bioinformatics, computer science, artificial intelligence, and data analytics. He is currently pursuing an MPhil in Bioinformatics as a Research Scholar at the Computational Biology Lab, National Center of Bioinformatics, Quaid-i-Azam University, Islamabad. His academic journey includes an Associate Degree in Computer Science from the Virtual University of Pakistan, a BS (Hons) in Biotechnology from the University of the Punjab, Lahore, an FSc. in Pre-Medical from Government College University, Lahore, and his matriculation from Society Public School, Moghalpura, Lahore.Through numerous certifications from internationally recognized institutions—including IBM, Google, Coursera, Novartis, Johns Hopkins University, the University of Toronto, and DTU—Mr. Hammad has developed advanced skills in machine learning, deep learning, data visualization, genomics, pharmacokinetics, cybersecurity, and quantum programming. His technical proficiency is further strengthened by badges in data analysis, data science tools, PyMOL-based molecular visualization, cloud computing, and AI-based enterprise frameworks.Professionally, he has contributed as a Bioinformaticist at BioInfoQuant, a Bioinformatics Analyst at BioInfoXpert, and a Research Apprentice at the University of the Punjab. His practical experience also includes multiple internships in administrative, analytical, and molecular biology settings. Beyond professional roles, he has played a significant part in academic training and capacity building, serving as a facilitator, resource person, and organizer for numerous workshops and national-level training programs on RNA-Seq, NGS data analysis, molecular docking, multi-omics data analysis, and computational biology. His contributions have supported the training of faculty, researchers, and over fifty students across Pakistan.Mr. Hammad has co-authored several peer-reviewed publications, contributing to research in microbiology, drug discovery, structural dynamics, genomics, and computational oncology. His works include Molecular and Metabolic Characterization of Petroleum Hydrocarbon-Degrading Bacillus cereus, Exploring Optimal Drug Targets through Subtractive Proteomics Analysis and Pangenomic Insights for Tailored Drug Design in Tuberculosis, Comprehensive Analysis and Outcomes of Hybridization of Physiologically Active Heterocycles Targeting EGFR, Evaluation of Cannabis-Derived Anti-Inflammatory Treatment and Computational Studies, Genetic Analysis of HPV-16 L1 Gene Mutations and Computational Screening of Therapeutic Inhibitors for Cervical Cancer Treatment, and Identification of Novel Therapeutic Inhibitors against E6 and E7 Oncogenes of HPV-16 Associated with Cervical Cancer.With a rapidly expanding research portfolio, multidisciplinary expertise, and active engagement in scientific training, Mr. Hafiz Hammad continues to establish himself as a promising researcher contributing to advancements in bioinformatics, computational biology, and data-driven biomedical innovation.

Profile: Google Scholar

Featured Publications

Khan MF, Ali A, Rehman HM, Noor Khan S, Hammad HM, Waseem M, et al. Exploring optimal drug targets through subtractive proteomics analysis and pangenomic insights for tailored drug design in tuberculosis. Scientific Reports. 14(1):10904.

Hussain N, Muccee F, Hammad M, Mohiuddin F, Bunny SM, Shahab A. Molecular and metabolic characterization of petroleum hydrocarbons degrading Bacillus cereus. Polish Journal of Microbiology. 73(1):107–120.

Younas S, Nosheen A, Malik ZI, Hussain N, Khan MU, Alhegaili AS, et al. Genetic analysis of HPV-16 L1 gene mutations and computational screening of therapeutic inhibitors for cervical cancer treatment. Medical Oncology. 42(5):153.

Rafiq H, Fareed G, Rehman HM, Yasmeen S, Wu Y, Sohail T, Imran H, et al. Evaluation of cannabis-derived anti-inflammatory and analgesic treatment and identification of cannabinoid-based inhibition of prostaglandin through computational studies. Journal of Biomolecular Structure and Dynamics. 1–14.

Kaur M, Rehman HM, Wu Y, Kaur G, Hammad HM, Usmani YS, Kaur A, et al. Comprehensive analysis and outcomes of hybridization of physiologically active heterocycles targeting epidermal growth factor receptor (EGFR). Computers in Biology and Medicine. 184.