Abha Saxena

Highly skilled and experienced systems biologist passionate about leveraging modeling techniques to drive business development. Skilled in implementing diverse methodologies and proficient in optimization, statistical analysis, and network analysis. Ready to contribute expertise towards impactful strategic initiatives.

• Supervised a team of 16 scientists, providing leadership and guidance in scientific research projects and ensuring the successful execution of project objectives.
• Led multidisciplinary teams in scientific research projects focusing on Nutraceutical-based Product formulations for various health concerns including PCOD, Liver Health, Diabetes, Stress Management, Weight Management, IBD (UC and CD), Leaky Gut, Pancreatitis, and Child Physical Growth.
• Developed QSP models to understand the pathophysiology of Crohn’s and Ulcerative Colitis, contributing to improved therapeutic approaches.
• Managed patient recruitment for clinical studies, ensuring the acquisition of essential data and insights.
• Possess expertise in pathophysiology, including insights into Leaky Gut, IBS, IBD, Covid, Subclinical Inflammation, Diabetes, and Liver Metabolism.
• Proficient in QSP modeling, PKPD modeling, Graph Theory, and Network Analysis, enhancing understanding of physiological pathways and disease mechanisms.
• Played a key role in conceptualizing and designing the backend architecture for the MetSights platform, focusing on metabolic health management. This involved integrating scientific research findings into the platform to provide practical solutions for health management.

Modeling Techniques:

• ODE modelling
• QSP and PKPD modelling
• Monte Carlo simulation

Optimization Methods:

• Local and global optimization for parameters estimation
• Nature-inspired algorithms
• Hybrid optimization

Data Analysis and Statistics:

• Large-scale data analysis
• Statistical distribution fitting
• Hypothesis testing
• Regression analysis
• Maximum likelihood estimation
• Model selection

Visualization and Network Analysis:

• Graph theory and network analysis
• Principal component analysis
• Data clustering

• First rank holder in M.Tech.
• DST-INSPIRE fellowship, IIT, Hyderabad, 2015 (Duration: 5.5 years)

• A systems biology-based mathematical model demonstrates the potential anti-stress effectiveness of a multi-nutrient botanical formulation. Scientific reports (Accepted)
• Efficacy of optimal nutraceutical combination in treating PCOS characteristics: an in-silico assessment. BMC Endocrine Disorders (Accepted)
• Effect of oral nutrition supplement on growth in preschool children–a systems physiology-based in silico analysis: Effect of ONS on growth in preschool children. Indian Journal of Child Health, 204-213. DOI: https://doi.org/10.32677/ijch.v9i11.3696 2022
• A Detailed Model and Monte Carlo Simulation for Predicting DIP Genome Length Distribution in Baculovirus Infection of Insect Cells, Biotechnology and Bioengineering, 10.1002/bit.27566, 4.54, 2020
• Statistical modeling of cell‐to‐cell variability in viral infection during passaging in suspension cell culture: Application in Monte‐Carlo simulation., Biotechnology and Bioengineering, 10.1002/bit.27295, 4.54, 2020
• A structured review of baculovirus infection process: integration of mathematical models and biomolecular information on cell–virus interaction, Journal of General Virology, 10.1099/jgv.0.001108, 3.56, 2018
• Isolation and Screening of biosurfactant producing bacteria from polluted lake, Journal of advanced Biotechnology & Bioinformatics, 2013, 27-31
• Bioethanol production by Zymomonas mobilis MTCC No. 2427 using orange peels as low cost substrates, Chem Tech Res, 2013, 5, 6, 2787-92

• Analytics Pipeline for Visualization of Single Cell RNA Sequencing Data from Brochoaveolar Fluid in COVID-19 Patients: Assessment of Neuro Fuzzy-C-Means and HDBSCAN 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI: 10.1109/EMBC48229.2022.9871686 2022
• Mathematical modelling of viral infection dynamics and immune response in SARS-Cov2: A computational framework for testing drug efficacy. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI:10.1109/EMBC46164.2021.9630629 2021
• Confocal Imaging of Intercellular Calcium in HeLa Cells for Monitoring Drug-Response: Biophysical Framework for Visualization of the Time-Lapse Images, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 10.1109/ISBI45749.2020.9098697, 2020
• Application of kohonen-self organizing map to cluster drug induced Ca2+ response in hippocampal neurons at different drug dose, 2020 National Conference on Communications (NCC), IEEE, 10.1109/NCC48643.2020.9056031, 2020
• Effect of topology and time window on probability distribution underlying baclofen induced Ca2+ response in hippocampal neurons, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 10.1109/EMBC.2019.8857601, 2019
• Cell-to-Cell Variability in Protein Expression during Viral Infection: Monte-Carlo Simulation and Validation based on Confocal Imaging, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 10.1109/EMBC.2019.8856612, 2019
• Single Neuron Imaging Reveals Metabotropic Glutamate Receptor-Mediated Bursting and Delay in Calcium Oscillation in Hippocampal Neurons, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 10.1109/EMBC.2019.8856638, 2019

• Dr. Lopamudra Giri, Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, (+91)-40-23017024, giril@iith.ac.in
• Dr. Kishalay Mitra, Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, (+91)-40-23017055, kishalay@iith.ac.in
• Dr. Soumya Jana, Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, (+91)-40-2301-6105, jana@iith.ac.in
• Prof. David W. Murhammer, Dept. of Chemical and Biochemical Engineering, University of Iowa, Iowa City, 52242, USA, david-murhammer@uiowa.edu
• Dr. Jayanta Chakraborty, Department of Chemical Engineering, IIT, Kharagpur, West-bengal, jayanta@che.iitkgp.ac.in