About me
Data Scientist and Ph.D. Candidate with over 6 years of proficiency in machine learning, data science, and statistical analysis. Extensive experience in collaborating and communicating with experts from interdisciplinary fields. Passionate about crafting innovative AI and ML solutions, staying up-to-date with technology advancements such as generative AI, and emphasizing model interpretability for explainable results.
Research projects
Multifunctional peptide engineering (source code)
ML technique: Super Learning/Stacked Ensemble
Nature Communications (2023)
Malaria vaccine antigen identification for P. falciparum (source code)
ML technique: Positive-Unlabeled Learning
Under review by npj Systems Biology and Applications
Retinal ganglion cell counting with object detection (source code)
ML technique: Deep Learning
Journal of Controlled Release (2023)
Fun facts
