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

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.

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.

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.

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