Dr. Ashfaq, Rehman, PhD/Postdoc Biophysicst, Author

• Evaluated AI-generated scientific responses using expertise in computational biology, structural biology, molecular docking, and molecular dynamics simulations.
• Designed and assessed complex scientific tasks requiring multi-step reasoning, computational analysis, and evidence-based interpretation.
• Validated AI-generated hypotheses against molecular modeling workflows, simulation data, and scientific literature to identify reasoning gaps and methodological limitations.
• Analyzed protein conformational dynamics, transient states, and allosteric mechanisms to evaluate molecular insights relevant to drug discovery.
• Developed evaluation criteria and expert feedback to assess AI performance in computational chemistry and life science applications.

• Conduct translational research integrating analytical chemistry, protein characterization, computational interpretation, and biological validation to enhance understanding of protein functions.
• Conduct translational research integrating analytical chemistry, protein characterization, computational interpretation, and biological validation.
• Integrate experimental observations with computational predictions to investigate biological mechanisms and improve scientific interpretation.
• Integrate experimental observations with computational predictions to elucidate biological mechanisms and refine scientific interpretation.
• Apply rigorous analytical reasoning to evaluate experimental results, clarifying relationships between molecular properties and biological outcomes.

• Developed computational frameworks to characterize protein conformational ensembles, energy-landscape remodeling, and allosteric regulation in disease-relevant proteins.
• Applied molecular dynamics simulations, structural modeling, and quantitative analysis to define how mutations, post-translational modifications, and molecular interactions alter protein dynamics and functional states.
• Integrated simulation-derived insights with structural and biological data to identify regulatory mechanisms, transient conformations, and potential therapeutic vulnerabilities.

• Investigated disease-relevant protein mechanisms using computational biophysics, molecular simulations, and structural modeling to understand conformational regulation and molecular function.
• Applied molecular dynamics simulations, network-based analyses, and computational approaches to characterize protein communication pathways, conformational transitions, and allosteric regulation.
• Developed computational workflows to evaluate structural hypotheses, interpret molecular interactions, and define mechanisms underlying protein regulation and disease-associated perturbations.
• Integrated computational findings with biological insights to support molecular design strategies and advance understanding of therapeutic targets.
• Collaborated with multidisciplinary researchers to analyze simulation results, communicate scientific conclusions, and contribute to computationally driven discovery efforts.

• Investigated the role of protein conformational dynamics, molecular interactions, and regulatory mechanisms in disease-associated functional changes.
• Applied molecular simulations, structural modeling, and computational analyses to characterize protein dynamics, allosteric regulation, and mechanisms underlying pathological states.
• Examined how structural perturbations influence protein stability, communication pathways, and transitions between functional conformational states.
• Developed mechanistic models by integrating simulation-based insights with molecular interaction analyses, contributing to peer-reviewed research publications.
• Collaborated with interdisciplinary teams to interpret computational findings and advance understanding of disease-relevant protein systems.

• Contributed to a state-funded food safety research program focused on the identification and quantitative analysis of advanced glycation end products (AGEs) in food samples.
• Applied chromatography, mass spectrometry, biochemical assays, and sample preparation workflows for chemical characterization and analytical validation.
• Optimized extraction protocols, solid-phase extraction (SPE) cleanup, chromatographic methods, and recovery assessments to improve analytical accuracy, reproducibility, and workflow performance.
• Performed experimental data analysis, maintained research documentation, and supported laboratory workflow optimization.
• Assisted researchers and students with analytical techniques, laboratory procedures, and interpretation of experimental results.

Ph.D. in Computational Biophysics
[University Name] | 2020
Dissertation: Allosteric Autoinhibition Mechanisms in Post-Translationally Regulated Proteins: Computational Insights into Protein Dynamics and Regulation
Advisor: [Advisor Name]

• Investigated how post-translational modifications and structural perturbations influence protein conformational dynamics, allosteric regulation, and functional states using molecular simulation and computational modeling approaches.
• Awarded [Award Name]
• [Scholarship Name] Scholarship Recipient
• Study Abroad: [Location], [Subject]
• Ranked in Top [Number]% of class
• Honoree of [Honor Name]