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Trent A. Leslie

Analytical and results-driven professional with over 10 years of data analytics experience and skilled at using statistical analysis and data visualization to uncover valuable insights and drive informed decision-making.

Outstanding experience in database management and team leadership, excelling at guiding and mentoring teams while implementing professional development programs to enhance staff performance. Impressive background in data analysis and visualization through numerous projects, such as creating RShiny infrastructure for urothelial carcinoma patient data, pinpointing response biomarkers in lung and urothelial carcinoma datasets, and exploring composite biomarkers for Merkel Cell Carcinoma. Established expertise in machine learning, employing advanced computational methods to tackle intricate biological challenges. Comprehensive understanding of scientific techniques encompassing preparation, characterization, testing, evaluation, data analysis, and collection. Proficient in analyzing bulk and single-cell RNA-seq, functional enrichment, and deconvolution. Demonstrated competence in utilizing cloud computing, high-performance computing, and Linux/Ubuntu operating systems.

Areas of Expertise

  • Bioinformatics / Machine Learning
  • Biomarker Discovery / Validation
  • Data Analysis / Interpretation
  • Project / Program Management
  • Continuous Improvement / Innovation
  • Report Writing / Presentation
  • Quality Control / Assurance
  • Gene Expression Profiling
  • Team Development / Leadership
  • Statistical Analysis / Data Mining
  • Problem Solver / Decision Maker
  • Research / Development

Career Experience

Bioinformatics Contractor | EMD Serono R&D Institute, Billerica, MA (Remote)        2021 – 2022

Utilized RShiny to extract, process, and load RNAseq data and full exome sequencing profiles from four phase I-III UC trials, including TCGA. Identified loss-of-function mutations to validate the mutation status of one gene as a biomarker for resistance of the avelumab maintenance in the internal UC cohort.

Key Projects

RShiny infrastructure for visualizing & analyzing clinical data & molecular profiles for Urothelial carcinoma patients. 

Identifying response biomarkers & combination rationale to overcome avelumab resistance in Lung & UC datasets.

Understanding biomarkers of response & resistance to Merkel Cell Carcinoma for patients treated with avelumab in 1L and 2L

Quality Manager | MadTree Brewing, Cincinnati, OH        2014 – 2021

Managed a cross-functional team to develop, execute, and maintain quality management systems/processes. Drove initiatives for continuous improvement to maximize effectiveness and guarantee reliable product output. Chaired and organized regular team meetings to inform and update staff regarding progress, challenges, and opportunities. Conducted research and presented outcomes at various conferences, including delivering presentations, organizing and moderating panel discussions, and participating in roundtable discussions. Acted as a chair of the American Society of Brewing Chemists (ASBC) Technical Committee and Craft Beer Subcommittee while leading Committee meetings and the development and launch of the ASBC Sampling Plans.

Six Sigma project:  Kolsch Yeast Counts: Improving Reliability of Representative Samples to improve beer consistency

Additional Experience

Graduate Student, Teaching & Research Assistant | University of Cincinnati, Cincinnati, OH, 2011 – 2014


MS, Biological Sciences | University of Cincinnati, Cincinnati, OH, 2013

BS, Aerospace Engineering | Saint Louis University, St. Louis, MO, 2006

Licenses & Certifications

Data Science Certificate – Springboard (Online), 2021

      Six Sigma Black Belt Certification – Xavier Leadership Center, Cincinnati, OH  

Publications & Presentations

Technical Proficiencies

Data Analysis:

Bulk & single cell RNASeq | whole-exome DNA sequencing | functional enrichment (Gene Ontology, GSEA, CAMERA) | deconvolution (xCell, Cibersort) | de-novo transcriptome assembly (SOAPdenovo-Trans) | trichromatic | Bowtie2 | BLAST | samtools | Primer3 | H&E and PD-L1/CD8 IHC output from PathAI & Definiens


R & Bioconductor (DESeq2 | edgeR, survival | Seurat | tidyverse | fGSEA | limma | shiny | markdown) | Python (Jupyter | Pandas | NumPy | Scikit-Learn | PySpark | Keras | Tensorflow) | SQL (PostgreSQL)

Data Visualization:

Statistics & ML:

Other Skills:

ggplot2 | plotly | survminer | ComplexHeatmap | Cytoscape | MatplotLib | Seaborn | RShiny

Design of Experiments (DOE) | Statistical Process Control | Hypothesis Testing | Regression | Classification | kNN | Random Forest | K-Means Clustering | Neural Networks

Cloud computing (AWS) | High-performance computing (PBS Cluster Computing Environment) | Operating system (Linux/Ubuntu, Windows) | Version control (GitHub/GitLab)