Mohammad Asif Khan

Mohammad Asif Khan is a Visiting Professor at Bezmialem Vakif University, Turkey, and affiliated with Perdana University's School of Data Sciences, Malaysia. His research focuses on biological data warehousing, bioinformatics methodologies, and applications of data science to immune responses, viral informatics, cheminformatics-based drug design, and disease biomarker discovery.

• PhD (2006-2010), MSc (2003-2005), BSc (1999-2003) from National University of Singapore

His research spans viral diversity analysis, vaccine target discovery, and tool development for computational biology, including the Viral Variome Analyser (ViVA) ecosystem. He has published over 75 research articles and holds three patents.

Key publication trends include bioinformatics education challenges, viral sequence diversity dynamics, personalized medicine, and cross-reactivity studies of neutralizing antibodies against SARS-CoV-2. His work integrates computational approaches with immunology, virology, and clinical informatics.

• Best Paper Awards (BMC Medical Genomics, BMC Genomics) at InCoB 2017
• Meritorious Service Award by APBioNET
• Certificate of Appreciation for APAN48 (2019)
• TUBITAK International Fellowship

Dr. Khan has supervised graduate students on influenza subtypes, HRSV diversity, and glioblastoma research. He leads the Big Data and Bioinformatics Laboratory at BILSAB, mentoring a team of researchers and alumni across Turkey, Singapore, and international institutions.