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Building data & AI platforms for genomics and multi-omics research. VP Solutions Engineering at Manifold — bench and computational biologist turned platform leader.
I’ve spent my career at the intersection of biology, data, and infrastructure: starting at the bench running high-throughput screens and single-cell RNA-seq, then moving into computational biology, cloud architecture, and ultimately leading the engineering organizations that build platforms for genomics and multi-omics research at scale. I’ve built and managed global teams of solutions architects, bioinformatics engineers, and services engineers across the US, Europe, and Asia. AWS Certified Solutions Architect & Cloud Practitioner. Certified Scrum Product Owner.
Lead Solutions Engineering at Manifold, the AI platform for life sciences. Responsible for the technical customer-facing function spanning pre-sales and post-sales, partnering with sales, product, and engineering to win, deliver, and expand strategic customer relationships.
Led data infrastructure and management strategy for Champions’ research and development efforts, with responsibility for the data platform supporting multi-omics and research data workflows in alignment with FAIR principles.
Led the Professional Services Engineering organization — a global team of 15–20 architects, bioinformatics engineers, services engineers, and contractors across the US, Europe, and Asia — responsible for all technical services delivery on the DNAnexus platform.
Managed the Solutions Engineering organization through a period of leadership transition, expanding scope mid-tenure to include a subset of the Professional Services engineering team.
Individual contributor presales engineer supporting customers globally across all verticals, with particular depth in top-5 pharma and diagnostics.
Applied computational, cellular, and molecular techniques to investigate normal biology of the lower urinary tract and the development and progression of benign and malignant pathologies. Focused on single-cell and bulk RNA-sequencing of FACS-sorted populations to characterize normal and diseased cellular heterogeneity. Developed and deployed standardized pipelines for data analysis and exploration, including cloud-based (AWS, Azure) implementations.
Designed, conducted, and analyzed cellular and molecular experiments investigating normal prostate biology and the development and progression of benign prostatic hyperplasia and prostate cancer. Leveraged single-cell and bulk RNA-sequencing of FACS-sorted populations to characterize cellular heterogeneity in healthy and diseased tissue, and identified immune infiltrate signatures in primary human prostate samples to associate with cell-type-specific gene expression, epithelial dynamics, and clinical outcomes. First or co-authored eight journal publications during this period, including a first-author paper in Cell Reports (2018).
Developed high-content image-based assays for high throughput drug discovery. Optimized high throughput assays for early-stage drug discovery on marine natural products.
Used cellular and molecular biology techniques to investigate the effect of adipocytes and obesity on the multiple myeloma bone marrow tumor microenvironment. Techniques included cell culture (including co-culture), immunoblotting, ELISA, qPCR, tubulogenesis assays, invasion assays, viability assays, immunofluorescence, and confocal microscopy. Independently taught undergraduate lab courses, including design of laboratory content, assessments, grading, and student counseling.
Courses taught: Bio 200 Structure and Function of the Human Body, Bio 210 General Biology II, Bio 300 Cell Biology, Bio 356 Genetics.
Investigated the relationship between the peptidyl-prolyl cis/trans isomerase Pin1 and IL13 in asthma models, using cellular, molecular, and biochemical techniques. Managed lab budget, ordering, and vendor relationships.
Conducted high-throughput compound and RNAi screens in the HTS/RNAi Core, working with a 200,000-compound library, whole-genome human siRNA, Drosophila dsRNA, and custom libraries. Primary project used compound and RNAi screens to functionally categorize NSCLC cell lines into familial groups, identifying molecular susceptibilities exploitable based on biomarkers. Contributed across all aspects of projects: assay choice and development, optimization, implementation, data analysis, bioinformatics, and follow-up experiments. Additional projects included screens for osteoclast differentiation modifiers, novel-mechanism antimicrobial agents, iron homeostasis regulators (siRNA), and miRNA sensitizers to sub-lethal chemotherapy in cancer cells with specific genetic profiles.
Screened for NF-κB inhibitors using a cell-based luciferase reporter assay on a library of partially purified marine natural products. Confirmed prospective inhibitors via flow cytometry and immunoblotting, and identified active compounds using HPLC, MS, and 1D/2D NMR.
















A collection of open source visualizations, code, and data that I created or contributed to.

Single-cell RNA-sequencing of adult human prostates and urethras from organ donors, and BPH (glandular and stromal) patients as well as adult mouse lower urinary tracts.

This pipeline conducts end-to-end RNA-seq analysis on replicates stored in the GenitoUrinary Development Molecular Anatomy Project and ReBuilding the Kidney consortium. This pipeline was created in a collaboration between the Strand Lab and Bioinformatics Core Facility (BICF) at UT Southwestern Medical Center.This pipeline conducts end-to-end RNA-seq analysis on replicates stored in the GenitoUrinary Development Molecular Anatomy Project and ReBuilding the Kidney consortium. This pipeline was created in a collaboration between the Strand Lab and Bioinformatics Core Facility (BICF) at UT Southwestern Medical Center.

This code was used for the single-cell RNA-sequencing analysis in the Strand Lab at UT Southwestern Medical Center

BICF Cellranger count Analysis Workflow is a wrapper for the cellranger count tool from 10x Genomics. This pipeline, used by the Bioinformatics Core Facility at UT Southwestern, takes fastq files from 10x Genomics single-cell gene expression libraries and passes them to cellranger count, managing parallelization of multiple runs, as well as, aggregation as appropriate. This pipeline is primarily used with a SLURM cluster on BioHPC, but it should be able to run on any system that Nextflow supports. Additionally, this pipeline is designed to work using a simple web interface.

Spatial transcriptomics of treatment naive and 5-alpha reductase inhibitior treated human BPH tissue

Dissected verumontanum region and peripheral zone region from a normal human prostate sample were digested into single-cell suspensions, cells were subject to single-cell RNA-sequencing using the 10x Genomics platform

Single-cell RNA-sequencing of adult human prostates and urethras from organ donors, and BPH (glandular and stromal) patients.

Single-cell RNA-sequencing of adult mouse prostates and urethras.

Sequencing data relating to the in preparation publication: 'Single cell analysis of mouse and human prostate reveals novel fibroblasts with specialized distribution and microenvironment interactions'