Gopaiah Talari (UoY)

About Gopaiah

I hail from a district in Andhra Pradesh, India and completed my schooling at the same place. My interest in studies and especially in the field of chemistry led me to pursue Bachelor’s degree in Pharmacy at Palamuru University. The four years of under graduate studies just propelled my inquisitiveness and enthusiasm towards this field. NIPER has provided me a strong research background and channelized my passion for computers and technology for the purpose of drug discovery and development with its unique department of Pharmacoinformatics. The field of Computational Pharmaceutical Chemistry and Machine learning especially attracts me. The title of my dissertation is “Prediction of Total Clearance by Machine Learning Techniques”. The project involves prediction of human body total clearance using Machine learning approaches and also development of a web server for the validated model. Apart from the project, we are also involved in developing a tool for Automated QSAR and Machine learning Model. I am fascinated by various computer aided drug design approaches and familiar with various techniques like Molecular Docking, Molecular Dynamics, Homology Modeling, Pharmacophore Mapping etc.

My PhD is part of the TEMPERA network of 8 PhD students who are working to advance the use of proteomics in Heritage Science. The project involves the application of computational approaches to interrogate MALDI spectra, explore patterns and examine potential strategies for using MALDI data in conservation studies of Parchment and other Cultural Heritage Science Objects.

Read about Gopaiah's PhD project.


  • 2017 - M.S. (Pharm.) in Pharmacoinformatics from National Institute of Pharmaceutical Education and Research (NIPER), SAS Nagar with 8.03 CGPA till 2nd semester.[Dissertation Title: “Prediction of Total Clearance by Machine Learning Techniques”]
  • 2015 - Bachelor of Pharmacy from Palamuru University, Andhra Pradesh with 72.11 % marks. [Dissertation Title: "Development of UV spectrophotometric method for the estimation of sertraline hydrochloride in tablet dosage forms"]
  • 2011 - Senior Secondary School from APSWRJr. College, AP with 82.32 % marks
  • 2009 - Secondary School from Govt Hight School, Nellipaka, AP with 75.5 % marks


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University of York

Marie Curie Early Stage Researcher, BioArCh

Environment Building 2nd Floor, Wentworth Way, Heslington, York, YO10 5NG

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At: University of York

Supervisor: Matthew Collins