Analytical Mechanics Associates

Software Engineer

• Research on uncertainty quantification and decision making under uncertainty
• Quantify the epistemic uncertainty in sliced-normal distributions estimated from data
• Perform design using chance-constrained optimization and robust optimization
• Explore data-driven, risk-averse and risk-agnostic formulations
• Develop techniques to refine/reduce the model of epistemic uncertainty

Operations Research/Engineering Intern – Uncertainty Quantification

• Support development of technical presentations and reports for NASA and related stakeholders
• Communicate and present technical findings to internal teams and external stakeholders as needed

Mechanical/Aerospace Engineering Intern – GNC

Research Analyst

• Collaborate with NASA project mentors and technical teams to define AIML problem statements, success metrics, and validation plans.
• Develop and evaluate ML models (e.g., regression/classification, time series, anomaly detection, NLP, computer vision—based on project needs).
• Build reproducible data pipelines for ingestion, cleaning, feature engineering, labeling, and dataset versioning.
• Prototype and deliver proof-of-concept tools (scripts, notebooks, small applications, dashboards, or APIs) that can be transitioned to the mentor team.
• Apply sound practices for experimentation: baselines, ablation studies, cross-validation, and uncertainty/error analysis.
• Document methods, assumptions, limitations, and recommendations in clear technical writeups.
• Contribute to best practices for trustworthy/robust ML (data leakage prevention, bias checks, model monitoring considerations, and traceability).
• Participate in AiTHENA technical exchanges, demos, and closeout deliverables.

Operations Research/Engineering Intern – Uncertainty Quantification

Mechanical/Aerospace Engineering Intern – GNC

AIML Research Associate