· Serve as a data science and exposure modeling expert· Coordinate complex data exchanges and resolve problems to ensure timeliness in meeting risk assessment milestones· Lead the exposure systematic review efforts for the next 20+ TSCA work plan chemicals, including distributing and managing the workload among literature screeners/evaluators/extractors· Co-lead the prioritization of TSCA work plan and inventory chemicals to help define and plan future risk evaluations, which includes the coordination of data gathering efforts and the development of scoping, designation, and protocol documentation· Led the multidisciplinary exposure and engineering peer-review evidence mapping team for chemicals regulated under TSCA and PPA· Managed the development and implementation of artificial intelligence/machine learning methods· Prepared and presented a demonstration of novel tools used for automating parts of the systematic review process for exposure, engineering, fate, ecological and human health disciplines for the National Academy of Sciences, Engineering, and Mathematics. · Served as exposure assessment lead for developing general population, consumer, and ecological exposure estimation tools, methods, and data quality protocols for new and existing chemicals· Serve as a special emphasis program manager for my office's Black Employment Program

· Employ computational data analyses for integrating chemical exposure data for chemical risk prioritization for ~45,000 chemicals of interest to various stakeholders.· Develop and/or apply methods for estimating human exposures to environmental contaminants with sparse or abundant data.· Design and report the results of pilot analytical studies for collecting chemical property and emissions data.· Co-manage a long-term 7-figure projects developing a novel biological modeling platform, performing activities such as integrating low-throughput and high-throughput chemical exposure data into the platform and recruiting personnel for project support.· Co-manage project for developing computational methods for assessing the risk of cosmetics ingredients.· Serve as a liaison between ScitoVation and U.S.EPA Office of Research and Development collaborators under a Materials Transfer Agreement and Memorandum of Understanding.· Draft and submit manuscripts with multiple collaborators in scientific peer review journals.· Recruited, supervised, and trained an intern to produce key analyses for multiple projects including an accepted publication.

•Provide multi-omics data analysis to answer hypotheses driven questions regarding minority healthcare disparities in breast cancer and prostate cancer by using data from genome-wide association studies (GWAS) and chromatin immunoprecipitation sequence assays (ChIP-seq).•We recently published an R programming package (MonoInc) that allows for various imputations of longitudinal data such as those found in electronic health records.•Supervise graduate and undergraduate students on their individual research projects in order to keep aligned with the research core’s objectives.•Manage various internal and external research collaborations with NCCU, USEPA, and UNC.

Project Title I: High throughput exposure modeling of semi-volatile chemicals in articles of commerce.•Predict key parameters for near-field chemical exposure prediction models •Create reproducible programming scripts to automate the merging and analyses of large datasets•Collaborate with external partners in order to solve risk assessment related research problemsProject Title II: High throughput determination of critical human dosing parameters.•Design a quantitative model for understanding anomalous occurrences in high throughput in vitro screening data•Develop a logistical regression model for labeling a chemical’s potential to chemically interact with assay plate wallsCollaborative Tasks•Selected a set of chemicals for physical property measurements for the purpose of improving and validating current physico-chemical property predictors.•Selected a set of chemicals and materials to have out-gassing measurements taken, for the purpose of improving predictions used to parameterize indoor exposure models.

Dissertation title: Tuning the electronic properties of carbon-based nanohybrid materials.•Employ molecular modeling methods in order to investigate phenomena in nanoscience•Utilize first-principles density functional theory to study properties of nanohybrid materials•Currently funded by NIH Minority Biomedical Research Support/ Research Initiative for Scientific Enhancement (MBRS/RISE) to investigate materials with potential biosensor applications•Successfully participate in interdisciplinary research through partnership between the Center for Functional Nanoscale Materials (CFNM) and Center for Theoretical Studies of Physical Systems (CTSPS)

•Conduct computational toxicology research for Agency for Toxic Substances and Disease Registry •Develop efficient method of screening unfamiliar toxins based on structure-activity relationships•Generate structure data files and SMILES strings in order to evaluate similarity ensemble approach (SEA)

•Created successful skin-care, hair-care and fragrance products according to cGMP.•Reverse-engineered and color-matched target products according clients’ needs.•Scaled-up products for submission to clients and quality control and stability department.

• Research Title: Addition of dihalocarbenes to benzyl[1.1.1]propellane.• Performed multi-step organic synthesis for mechanistic investigations• Presented research as poster at the 232nd American Chemical Society Meeting in Atlanta, GA