Aaron Mackey Email & Phone Number

New York, Ny, Us

Reorganized and revamped the multifunctional data organization (data engineering, data insights, and advanced data modeling) to deliver on Sonata’s many and diverse platform biology and drug discovery program goals. Oversaw the refinement and deployment of an open-source deep learning method for oncology target profiling from human tumors, used for indication and biomarker selection in Sonata’s preclinical discovery programs. Championed and advised on the development and deployment of an LLM-based scientific Q&A chatbot, leveraging semantic literature search integrated with internal sources of text and in-house experimental platform data.

New York, New York, Us

Growing, mentoring, and leading a diverse multiomics team, working across multiple scientific domains, with agile insight delivery and product engineering mindset, at the intersection of discovery biology, chemoproteomics, target selection, and biomarker discovery.

Lexington, Ma, Us

In the first year of "Integral" (now out of stealth as Valo Health!), I've grown and fostered a team of 10+ outstanding data scientists, with diverse domain backgrounds in computational biology, computational chemistry, quantitative pharmacology, biostatistics, clinical informatics, and clinical epidemiology, to serve as the primary computational applications organization, responsible for delivering the value of our Opal platform to the preclinical and clinical drug discovery and development teams. Our group, in partnership with the platform development and infrastructure engineering teams, participate as peers in the concurrent development of novel algorithmic, statistical, and data pipelining methods, exploiting the latest ground-breaking methods in ML and AI, working in multi-functional matrixed teams across all business lines.

Princeton, New Jersey, Us

As an integral member of Covance's Informatics leadership team, reporting to the Chief Data Officer, I lead a small group of data scientists responsible for the "skunkwork" development of innovative new methods to capitalize on years of clinical trial data to generate actionable insights, enable predictive business intelligence, and identify new ways to help our clinical research teams execute trials more efficiently (faster and! cheaper), while also achieving higher quality for our clients, using SOTA methods in NLP, dynamic time series analysis, and quantitative risk modeling.

Cold Spring Harbor, New York, Us

With Drs. William Pearson, Lisa Stubbs, and James Taylor, I spend an intensive week every year delivering lectures and workshops on: review of current and historical DNA and RNA sequencing technologies; algorithms and tools for next-generation sequence analysis; variant inference and population genetics; whole genome and transcriptome assembly; differential RNA expression analysis; gene set and pathway inference; and bacterial and eukaryotic structural and functional genome annotation. I also help direct and mentor many of the student-led independent projects in these and other areas. Lecturer since 2010, Co-instructor since 2015.

As the founding leader of the Computational Biology group, we have developed and built a powerful suite of bioinformatic tools for genomic data processing and visualization that provide HemoShear and external partner scientists with strong data-driven decision making abilities, including the ability to interpret coherent biological themes of mechanisms derived from integrated transcriptional and metabolic measurements.

Charlottesville, Va, Us

My research lab (2009-2013) at UVA pursued a widely diverse set of projects centered around the use of next-generation sequencing (NGS) data to: better understand human disease (genetics of type 1 diabetes and ischemic stroke, mechanisms of combinatorial drug synergy in melanoma cancers); elucidate mechanisms of plant-pathogen interactions; explore the use of cryptographically-secure algorithms for privacy-preserving exchange of genetic information; develop low-cost, pooled population resequencing algorithms for rare variant disease association studies; use RNAseq-based transcript isoform evidence to inform structural gene annotation across phylogenetic trees.

Houston, Texas, Us

With Stephen Richards (Baylor) and Trudy Mackay (NCSU), I developed a computational genomics workflow for hybrid 454- and Illumina-based genome resequencing and annotation efforts in support of the ~200-strain DGRP (Drosophila Genetics Reference Panel).

Brentford, Middlesex, Gb

Charlottesville, Va, Us

Phd, Microbiology, Computational Biology

M.S., Immunology

B.A., Biochemistry And Molecular Biology

High School Diploma