Frontier Research Mission

I build computational infrastructure that connects molecular data to therapeutic discovery. My work spans variant interpretation across patient populations, biomarker-driven patient stratification for treatment selection, and high-throughput antibody screening to prioritize drug candidates for clinical development, unified by turning high-dimensional biological data, from raw sequencing and assay outputs to structured, analysis-ready datasets, into insights scientists and clinicians can act on.

I am especially interested in how large-scale sequence and embedding-based methods can accelerate candidate discovery and reveal patterns that traditional approaches miss, and how AI and agentic tools can remove the bottlenecks between scientists and their own data. The work calls for pragmatic data integration, statistical modeling, machine learning, and production-ready scientific software.

Expertise

Python · R · SQL · Data science · Cloud/HPC workflows · Statistics and machine learning

Experience Highlights

  • Built reproducible genomic workflows for large-scale sequencing and transcriptomic datasets.
  • Integrated molecular and clinical data to support translational disease research.
  • Developed scientific software and analysis pipelines across cloud, HPC, and containerized environments.

Programming Languages

Python, R, SQL

Data Science

Pandas, NumPy, scikit-learn, DuckDB, Polars, PyTorch, Matplotlib, ggplot2, Bioconductor, R Shiny

Computational Resources

High-performance cluster, AWS (S3, EC2, Batch, Athena), Google Cloud Compute, Kubernetes, Docker, Argo, WDL, Nextflow, Prefect, DNAnexus, Git, JIRA, SQL (MySQL, Spark), noSQL (MongoDB, DynamoDB), Neo4j

Statistics and Machine Learning

Hypothesis testing, linear and generalized linear modeling, multivariate modeling, clustering, dimensionality reduction, supervised and unsupervised classification, random forests, HMM, Kaplan-Meier

Contact

Available for bioinformatics consulting, genomic data strategy, translational research collaborations, and scientific software projects.

For collaborations, consulting, or scientific data questions, email tfriedrich.solutions@gmail.com.

Older Writing & Projects

Earlier scientific writing, research, and project links.