Nicholas Brunk, Phd, Psm, Ms Email & Phone Number

Shirley, New York, Us

Using data science to cross-functionally manage the drug development lifecycle. For example:• Data-driven strategy (e.g., programming custom analytics platforms and BI tools identifying market trends & opportunities)• Preclinical study design, analysis, & presentation• Clinical pharmacological modeling & biostatistics (e.g. PK (NCA/CA), BA/BE analysis, popPK review) • Clinical simulations and stochastic modeling (e.g., Poisson-gamma recruitment projections)• Post-market statistical signal detection in pharmacovigilance• Deploying custom & enterprise analytics platforms supporting these functions• Cross-functional coordination of personnel, internal & external (CRO)

Shirley, New York, Us

San Francisco, California, Us

Led & conducted pharmacological simulations and high-throughput R&D software development, including management of interdisciplinary personnel. For example:• Managed scientific & computational personnel in a matrixed scientific SDLC• Technical coordination of Biologists, Comp. Chemists, and Software/ML Engineers• Technical writing & consulting (customer reports, successful grant applications, scientific publications)• Established PD technology, extending to multiple therapeutic areas (e.g. oncology, neuropathic pain).• Led re-engineering of the PBPK wing to align with Scientific Computing industry standards. Greatly enhanced usability, scientific accuracy (~450% geometric mean ratio improvement), and computational efficiency (~1500x speedup), eliminating excessive dependence on cloud infrastructure.• Developed a proprietary mathematical PBPK system demonstrably superior to those in the literature, validated against thousands of preclinical & clinical datasets.• Designed front-end GUI's for scientific software-as-a-service (SaaS) applications

Champaign, Il, Us

Worked with a large Software Engineering team to enhance research-grade and educational functionality of Wolfram|Alpha and the Wolfram Language (Mathematica). For example:• Developed statistics and physics-based modeling & simulation functionality for the Wolfram Language.• Developed math solution paradigms, interactive educational suites, 50+ functions, and natural language processing (NLP) paradigms for Wolfram|Alpha• Customer-facing Engineering: Published 1 scientific article in a high-ranking journal (ACS Nano), published blog posts, spoke at 4 conference venues, and actively mentored to establish use of Wolfram technology.• Role became part-time as of March 2021.

Bloomington, Indiana, Us

• Led development & publication of experimentally-validated simulations of soft matter physics & bio-applied materials science (nanoparticle self-assembly, deformation, and disassembly).• Contributed to custom 30K+ line C++ 3D simulation software with OMP/MPI parallelism and utilized industry-leading, third-party simulation software to conduct 25K+ HPC-driven simulations.• Automated ''big data'' analyses of 5+ TB of simulation data using C++ and Mathematica.• Published a 210 page dissertation• Published 5 scientific articles in high impact journals (e.g. ACS Nano, PRL, etc.).• Published 4 HPC-driven, cloud-based SaaS simulation applications with international user bases.• Spoke at 20+ regional, national, and international conferences. • Assisted Professor in his successful acquisition of tenure as his sole PhD graduate at the time, as well as successful grant applications (e.g. a CAREER Award).

Bloomington, Indiana, Us

• Developed & taught multidisciplinary Modeling & Simulation, Computational Physics, and applied Software Engineering courses to both undergraduate & graduate students.• Content included core math/physics, model & simulation construction, computer-algebra system (CAS) utilization, C++ simulation implementation, data collection / analysis / visualization, and third-party simulation application utilization (e.g. nanoHUB, LAMMPS).

Bloomington, Indiana, Us

• Led development & publication of the first experimentally-validated percolation theory of virus disassembly.• Led development of an algorithmic large-scale framework for kinetic modeling of virus assembly.• Collaboratively developed an experimental technique for detecting nanoparticle shape using nanofluidic devices and applied this to drug binding assays of candidate antivirals.• Published 3 scientific articles in high-ranking journals (e.g. JACS).

South San Francisco, California, Us

Preclinical lead optimization running multiple assays and automating biostatistical and pharmacological analyses. For example:• Quantitatively screened 3,000+ candidate antiviral compounds via several in vitro PD assay-to-analysis pipelines in lead optimization• Wet-lab biochemical work consisted of protein purification and high-throughput assay development and implementation• Programmed automated quantitative analyses using VBA and Mathematica/WL

Granular detail for positions held prior to and throughout undergraduate studies are omitted.

Doctor Of Philosophy - Phd, Intelligent Systems Engineering - Molecular & Nanoengineering

Master Of Science - Ms, Intelligent Systems Engineering

Master Of Science - Ms, Biotechnology

Bachelor Of Science - Bs, Physics

Bachelor Of Arts - Ba, Mathematics