Germany
Publications: ORCID 0000-0002-1481-9426 Code: GitHub github.com/aljoshoh Socials: Bluesky aljoshoh.bsky.social X @aljoshoh
Development of predictive biomarkers in pharma clinical trials; leveraging statistical methods, AI/ML and causal inference for characterizing molecular, biomedical and technical factors underlying biomarker performance and treatment response; complementary software development for analytical frameworks and LLM-based solutions implemented into scalable software packages and platforms.
Dissertation conducted with A/Prof. Dr. M. Menden; developing modelling strategies using statistical, machine learning, causal inference and AI methods for computational drug discovery and development in cancer. Specifically, I was working on computational drug and biomarker discovery with new multi-omics data modalities and methods in high-throughput drug screens, interpretable and translatable drug response prediction in pharmacogenomics, prioritising novel drug combinations through discovery of drug resistance mechanisms, prognostic prediction of cancer patients and the discovery of predictive biomarkers and causal estimation of heterogeneous treatment effects in randomised clinical trials and observational data. As an overarching goal, these and future efforts aimed at the discovery and modeling of drug response mechanisms for identifying new cancer vulnerabilities or treatment strategies for precision medicine.
Master thesis conducted at the chair of Prof. Dr. E. Frey with an emphasis on cell biology from an interdisciplinary perspective combining physical, mathematical and computational tools to model the fundamentals of life.
Research internship working in a team in developing semiflexible polymer models and united atom simulations. Acquired advanced computational skills and received mentoring throughout this process from Prof. Dr. M. Guenza.