Genetics research illustration

Clinical Research
& Statistical Genetics

Bridging genomics, surgical outcomes, and predictive modeling — from bench to publication.

The Author

Akil Anthony
Akil Anthony
Clinical Research Associate, New Brunswick, NJ

Rutgers University senior (B.A. Genetics, Minor in Data Science, GPA 3.89) with active roles in clinical research, statistical genetics, and radiosurgery outcomes analysis. Working across Morristown Medical Center's Department of Surgery, Jersey Shore University Medical Center's Radiation Oncology division, and Rutgers' own statistical genetics lab, Akil bridges wet-lab technique with rigorous quantitative modeling.

His work spans building predictive regression models for radiosurgery scheduling, developing the open-source genmixr R package for genetic power analysis, and producing first-author peer-reviewed publications. Every project is grounded in clinical data — TQIP, NSQIP, ZAP-X treatment records — and aimed at improving patient outcomes and resource utilization.

GitHub: github.com/akilanthony19

Statistical Genetics R / ggplot2 Predictive Modeling Radiosurgery Research Survival Analysis Clinical Datasets Cox Models genmixr

Research Focus

Areas of Work

Radiosurgery technology

Radiosurgery Outcomes

Regression and predictive modeling for ZAP-X stereotactic radiosurgery scheduling and treatment duration, reducing clinical scheduling errors and improving throughput across 200+ patient cohorts.

Statistical data science

Statistical Modeling

Linear, logistic, and Cox proportional-hazard models applied to surgical and oncology datasets. Specialty in feature engineering, model validation, and producing publication-ready statistical reports with ggplot2.

Clinical research laboratory

Genetic & Surgical Research

Development of the genmixr R package for power and sample-size estimation in genetic association studies, alongside trauma and surgical outcomes analysis using TQIP and NSQIP national datasets.

Peer-Reviewed Work

Select Publications

First Author · Cureus 2025
Regression Modeling of ZAP-X Treatment Time
Akil Anthony, Michael Chaga, Timothy Chen, Wenzheng Feng, Tingyu Wang, Darra Conti, Jing Feng, Ma Rhudelyn Rodrigo, Patrick Pema, Elizabeth Luick, Daniel Thompson, Joy Baldwin, Brielle Latif, Georgia Montone, Joseph Hanley, Shabbar Danish. Cureus, Vol. 17(6), June 2025.

Developed a ridge regression predictive model for stereotactic radiosurgery treatment duration using the ZAP-X gyroscopic system, analyzing 200 patient cases at Jersey Shore University Medical Center. The study identified that setup time and gantry time are the most influential variables affecting treatment duration, followed by number of beams, isocenters, dose, and target count. The model substantially outperforms the ZAP-X system's built-in duration estimates, which were found to consistently underestimate actual treatment time.

Key Result Ridge Regression achieved R² = 0.984 with a mean absolute error of 1.94 minutes, enabling accurate clinical scheduling and improved resource utilization.
View on PubMed
Co-Author · Cureus 2025
ZAP-X Stereotactic Radiosurgery: Initial Experience of 200 Patients
Timothy Chen, Patrick Pema, Michael Chaga, Wenzheng Feng, Tingyu Wang, Darra Conti, Jing Feng, Akil Anthony, Ma Rhudelyn Rodrigo, Harshal Shah, Daniel Monahan, Elizabeth Luick, Daniel Thompson, Joy Baldwin, Brielle Latif, Georgia Montone, Joseph Hanley, Nitesh V. Patel, Shabbar Danish. Cureus, Vol. 17(12), December 2025.

A prospective clinical investigation examining 200 patients who received ZAP-X gyroscopic stereotactic radiosurgery for 374 intracranial lesions between October 2023 and January 2025. The study evaluated workflow feasibility, dosimetric accuracy, patient safety, and clinical outcomes across a diverse case mix including brain metastases, meningiomas, trigeminal neuralgia, and acoustic neuromas. Average patient satisfaction ratings of 4.7–5.0 on a 5-point scale were reported.

Key Results 97% local tumor control at 12 months for brain metastases · Gamma passing rate 98.5 ± 1.7% · 75% recurrence-free survival for trigeminal neuralgia at 12 months
View on PMC

Background

Research & Clinical Experience

Morristown Medical Center May 2026 – Ongoing

Clinical Research Associate — Department of Surgery

  • Develop manuscripts, abstracts, and publications using TQIP, NSQIP, and institutional datasets
  • Analyze trauma and surgical outcomes to identify predictors of morbidity, mortality, and resource utilization
  • Assist with intraoperative specimen collection under research protocol compliance
Rutgers University Sep 2025 – Ongoing

Research Analyst / Developer — Statistical Genetics (genmixr)

  • Developed genmixr R package for power/sample-size estimation and error analysis in genetic studies
  • Built case-control and TDT analytical frameworks
  • First-author manuscript in preparation
Jersey Shore University Medical Center Dec 2024 – Ongoing

Research Analyst — Radiation Oncology

  • Analyzed clinical datasets evaluating ZAP-X radiosurgery treatment outcomes
  • Built linear, logistic, and Cox regression predictive models
  • Produced statistical reports and visualizations resulting in peer-reviewed publication
Cancer Institute of NJ – Payne Lab Jan 2024 – Aug 2024

Undergraduate Research Intern

  • Conducted PCR and genotyping experiments
  • Assisted in data collection and downstream analysis

Technical Expertise

Skills & Tools

Programming

R (advanced), Python, SQL (basic)

Statistical Methods

Linear & logistic regression, Cox models, survival analysis, predictive modeling

Data Visualization

ggplot2, R Markdown, statistical reporting

Tools & Platforms

SPSS, Excel, Git, R Markdown

Data Engineering

Data cleaning, feature engineering, model validation, TQIP/NSQIP datasets

Certifications

Aresty RURJ Peer Reviewer · Red Cross Adult First Aid / CPR / AED