Curriculum vitae August 2026

Ricardo Scheufen Tieghi

Program Analyst, Guidehouse — supporting the Office of the NIH Director

Durham, North Carolina · he/him

Education

University of North Carolina at Chapel Hill

Aug 2021 – May 2025

BS Biology — minors in Chemistry and Medical Anthropology

GPA 3.9 · Highest Distinction · Dean's List · Carolina Research Scholar

Research & professional experience

National Institutes of Health — Office of the NIH Director

Jun 2025 – Present

Program Analyst

via Guidehouse · Bethesda, MD

  • Authored a publication with the FDA Commissioner, the FDA CDER Director, and the NIH Deputy Director on alternatives to animal testing in preclinical research, in NEJM AI.
  • Co-led development of the $5M AI and Biomedical Foundation Model Challenge.
  • Led portfolio analysis for the Bio Genesis Mission, a $1.2B initiative from NIH's Chief AI Office.
  • Co-authored and supported development of the NIH AI Strategic Plan (2026–2029).
  • Built a multi-agent dashboard for the multimodal-AI award program using LLMs and MCP servers, cutting award-management time by roughly 50% in six months.
  • Deployed a portfolio analysis agent now serving six NIH Institutes and Centers, used for 15+ analyses for NIH leadership.
  • Delivered three portfolio analyses under compressed deadlines for congressional House Appropriations, analyzing 1,900+ grants with custom agentic AI pipelines.

Human Chemical Company

Dec 2025 – Jul 2026

AI Solutions Strategy Consultant

Chapel Hill, NC

  • Developed tools to assess pharmacokinetic properties of chemicals for an agentic AI startup.

National Institute of Environmental Health Sciences

Jun 2024 – May 2025

Intern

Division of Translational Toxicology, NICEATM · Morrisville, NC

Supervisor: Dr. Nicole Kleinstreuer, Director of NICEATM

  • Presented computational modeling work on skin sensitization, developmental toxicity, and acute and chronic toxicity at seven conferences; received 14 research awards and a best paper of the year award at the SOT Annual Meeting.
  • Published 10 projects aimed at refining and replacing animal use in toxicity testing with machine learning.
  • Collaborated with industry partners to model complex mixtures and review best practices for deep learning in medicinal chemistry.

UNC Molecular Modeling Lab

May 2023 – May 2025

Machine Learning Intern

Chapel Hill, NC

Supervisor: Dr. Alexander Tropsha

  • Led AI and machine-learning implementation for five toxicology projects on developmental toxicity, skin sensitization, and liver toxicity.
  • Contributed to over $1.8M in awarded funding for species-specific toxicity concordance analysis and mechanism-based modeling.
  • Applied QSAR best practices across eight endpoints — data curation, performance benchmarking, context of use, model validation, and 2D similarity.

Publications 8 peer-reviewed · 55 citations · h-index 4

Published

  1. R. S. Tieghi, T. B. Høeg, M. Makary, N. Kleinstreuer. The Promise of Animal Testing Alternatives at the U.S. Food and Drug Administration and the National Institutes of Health. NEJM AI (2025) ai.nejm.org/doi/full/10.1056/Aipc2500587
  2. R. S. Tieghi, J. T. Moreira-Filho, H. Martin, J. Wellnitz, M. Canamary Otoch, M. Rath, A. Tropsha, E. Muratov, N. Kleinstreuer. A Novel Machine Learning Model and a Web Portal for Predicting the Human Skin Sensitization Effects of Chemical Agents. Toxics (MDPI) (2024) doi.org/10.3390/toxics12110803 Editor's ChoiceSOT Paper of the YearNIEHS Paper of the Month
  3. R. S. Tieghi, et al. DeTox: an In Silico Alternative to Animal Testing for Predicting Developmental Toxicity Potential. Environmental Health Perspectives (2026) doi.org/10.1021/EHP.6c01149
  4. R. S. Tieghi, et al. External Validation of STopTox as an in Silico Alternative to Animal Toxicity Testing. Environmental Health Perspectives (2025) pubmed.ncbi.nlm.nih.gov/40393008/
  5. J. T. Moreira-Filho, R. S. Tieghi, et al. Automating Data Extraction from Scientific Literature and General PDF Files Using Large Language Models and KNIME: an Application in Toxicology. WIREs Computational Molecular Science (2025) doi.org/10.1002/wcms.70047
  6. M. Mahale, R. S. Tieghi, et al. The medicinal chemist's map to deep learning: Concepts, applications, and case studies. Elsevier Reference Module in Chemistry, Molecular Sciences and Chemical Engineering (2025) Co-first author. doi.org/10.1016/B978-0-443-29808-0.00066-2
  7. A. Stem, R. S. Tieghi, N. Kleinstreuer, V. Vasiliou. Synergistic Toxicity in Alcohol-Associated Liver Disease and PFAS Exposure. Toxicological Sciences (2025) doi.org/10.1093/toxsci/kfaf110
  8. K. Mansouri, J. T. Moreira-Filho, R. S. Tieghi, N. Kleinstreuer. Democratizing Artificial Intelligence in Toxicology: Real-World Applications and Automated Computational Workflows. ACS Chemical Research in Toxicology (2025) doi.org/10.1021/acs.chemrestox.6c00093

Preprint

  1. J. M. Beasley, D. Dorjsuren, […] R. S. Tieghi, E. Muratov. Breaking the Phalanx: Overcoming Bacterial Drug Resistance with Quorum Sensing Inhibitors that Enhance Therapeutic Activity of Antibiotics. bioRxiv (2025) doi.org/10.1101/2025.01.17.633658

Under review

  1. C. Melo-Filho, R. S. Tieghi. Importance and Challenges of Computational Modeling of Pesticides and Chemical Mixtures in Environmental Health: A Review. ACS Chemical Reviews Co-first author.

In preparation

  1. S. Seal, D. L. Huynh, R. S. Tieghi, et al. AI Agents as Collaborators in Drug Discovery and Development. Nature
  2. R. S. Tieghi, et al. CAMERA: A Centralized Public Resource for Validated Alternative Methods to Support Regulatory Decision-Making.
  3. R. S. Tieghi, et al. Elucidation of Adverse Outcome Pathways for Compound-induced Developmental Neurotoxicity using Knowledge Graphs.

Invited talks 13 total · 2 upcoming

  • March 2027 Upcoming Continuing Education Course — Speaker & Co-Chair — SOT 66th Annual Meeting, San Antonio, Texas.
  • November 2026 Upcoming Continuing Education Course — Speaker & Co-Chair — ACT Annual Meeting, San Antonio, Texas.
  • December 2025 Brown Paper Bag Seminar — Dynanet Corporation, Virtual.
  • November 2025 AI, Animals, and the Law — George Washington University Law School, Washington, D.C.. Watch recording
  • October 2025 Comprehensive Toxicity Assessment with Agentic AI — CE Course Speaker & Co-Chair — ASCCT 13th Annual Meeting, Durham, North Carolina.
  • August 2025 Early Career Best Oral Presentation Two presentations on in silico alternatives to animal testing — 13th World Congress on Alternatives and Animal Use in the Life Sciences, Rio de Janeiro, Brazil.
  • June 2025 BDRP Innovator Award Finalist Innovator Award Finalist presentation — Society for Birth Defects Research & Prevention Annual Meeting, Denver, Colorado.
  • May 2025 Division of Translational Toxicology Science Forum — NIEHS, Virtual.
  • April 2025 Annual Symposium presentation — NIEHS Scholars Connect Program, Durham, North Carolina.
  • March 2025 Symposium Speaker & Co-Chair — SOT 64th Annual Meeting, Orlando, Florida.
  • February 2025 ASCCT–ESTIV Award Winners Webinar — ASCCT & ESTIV, Virtual. Watch recording
  • November 2024 1st Prize Three Minute Thesis Competition — NIEHS Fall Connection — NIEHS, Durham, North Carolina.
  • October 2024 Suzanne Fitzpatrick Award Flash Talk — ASCCT 13th Annual Meeting, Durham, North Carolina.

Conference posters

  • March 2025 SOT Undergraduate Research Award A Novel Machine Learning Model and a Web Portal for Predicting the Human Skin Sensitization Effects of Chemical Agents — SOT 64th Annual Meeting, Orlando, Florida.
  • October 2024 ASCCT Travel Award HuSSPred: an in-silico HPPT-based tool for Human Skin Sensitization Prediction & the DeTox Project — ASCCT 13th Annual Meeting, Durham, North Carolina.
  • September 2024 1st Prize HuSSPred: an in-silico HPPT-based tool for Human Skin Sensitization Prediction — NCSOT Annual Meeting, Durham, North Carolina.
  • May 2024 SURF Award Endothelial Nuclear Proteins SUN1 & SUN2 regulate Microtubule Organization in Endothelial Cells — UNC Celebration of Undergraduate Research, Chapel Hill, North Carolina.
  • March 2024 BMSS Abstract Award Finalist PregPred: A Novel Web-Accessible Computational Tool for Predicting Developmental Toxicity — SOT 63rd Annual Meeting, Salt Lake City, Utah.

Awards

Research awards

  • Prize Winner NIH Replication Prize ~$55,000 · 2026 Recognized in both Track 1 (Replication Ideas) and Track 2 (Replication Exemplars).
  • Prize Winner NIH Complement-ARIE Challenge ~$50,000
  • Winner Best Paper of the Year — SOT In Vitro and Alternatives Section · 2025
  • Winner ×2 Best Intramural Paper of the Month, NIEHS
  • Winner Summer Undergraduate Research Fellowship (SURF) ~$4,000 · 2023

Presentation & institutional

  • Recipient UNC Chancellor's Walter S. Spearman Award · 2025 Awarded to the senior whose academic achievement, leadership, and strength of character are judged most outstanding.
  • Winner SOT Undergraduate Research Award ~$1,500 · 2025
  • Winner Best Oral Presentation, Early Career — 13th World Congress ~$500 · 2025 Sponsored by AIVT.
  • Winner Travel Award — 13th World Congress ~$1,000 · 2025
  • 2nd Prize BDRP Innovator Award ~$300 · 2025
  • 1st Prize RDTSS Poster Competition ~$400 Sponsored by Pfizer and Elsevier.
  • Winner Society for Birth Defects Research Travel Award ~$500 · 2025
  • Winner SOT Diversity Initiatives Career Development Award ~$1,000
  • 1st Prize NCSOT Undergraduate Student Poster Competition ~$300 · 2024
  • Winner ASCCT Suzanne Fitzpatrick Student Travel Award ~$1,000 · 2024
  • 1st Prize NIEHS Scholars Connect Elevator Pitch Competition · 2024
  • Winner UNC Office of Undergraduate Research Travel Award ~$300
  • Finalist SOT 63rd Annual Meeting Biological Modeling Specialty Section Abstract Award · 2024

Leadership & service

ACS Chemical Research in Toxicology and JCIM

Aug 2022 – 2024

Peer Reviewer

Reviewed 10+ publications on computational toxicology and machine learning.

Skills

Domains

  • Computational Toxicology
  • Machine Learning
  • Large Language Models
  • Agentic AI
  • Data Modeling

Tools

  • Python
  • PyTorch
  • RDKit
  • Scikit-Learn
  • Optuna
  • Plotly
  • Matplotlib
  • HTML
  • CSS
  • Microsoft Azure

News coverage

Original PDF

The same CV as a PDF, laid out for printing and for application portals.

Download PDF

Your browser can't display the PDF inline. Download it instead.