Bayesian Modeling
I utilized Bayesian modeling techniques to improved predictive accuracy and uncertainty quantification. This includes:
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Comparing Bayesian frameworks such as NumPyro, Pyro, and PyMC3 for analyzing ITC data.
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Using Bayesian regression and model selection to study binding affinities in enantiomeric mixtures through ITC (Paper in 2022).
Drug Design & Pharmacological Insights
My work in drug design focuses on improving data analysis methods for pharmacological screening. Key achievements include:
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Enhancing concentration-response curve fitting by incorporating control data, leading to more accurate estimates of half-maximal concentrations (Paper in 2023).
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Applying Bayesian regression to quantify uncertainty in binding parameters from isothermal titration calorimetry (ITC) data, providing a more reliable analysis than traditional error propagation methods (Paper in 2023).