Joining - Andrew C. Trapp

What Type of Research Does ARCHES Do?

Formulating mathematical models to capture human-centered and societal complexities
Developing computational optimization tools that are rigorously tested and refined
Merging machine learning and optimization into predictive and prescriptive frameworks
Advancing integer programming value-function methodologies
Engaging stakeholders to ensure solutions are practical, adaptable, and high-impact
Deploying decision-support tools that drive real-world practice and policy
Measuring adoption and outcomes to ensure tangible, scalable improvements
Publishing research in top academic outlets that advances academia and practice

Am I A Good Fit To Join ARCHES?

Strong foundation in mathematics: linear algebra, probability, discrete math
Proficient in programming, algorithms, and data structures (e.g., python, solvers)
Comfort with using and advancing integer, nonlinear, and stochastic programming
Experience with, and interests in, machine learning and its integration with optimization
Independent thinker with a collaborative spirit: can take initiative, can contribute to team
Strong sense of responsibility, maturity, and motivation to drive impactful research
Demonstrated leadership experience, ability to work well in interdisciplinary teams
Genuine commitment to using analytical methods for societal good
Desire to translate theory into practical tools and engage with stakeholders

What Is Our Mentoring Philosophy?

Small‐group and one‐on‐one settings for stronger rapport
Regular check‐ins and peer collaboration
Guidance that focuses on both technical excellence and personal growth
Encourage reflection: annual review, goal‐setting to shape career trajectories
Research experiences in critical areas of need (refugee resettlement, foster care)
We celebrate together: papers, conference presentations, birthdays

"Professor Trapp guided me professionally and personally, helping me navigate my research and career with confidence." ~ Dr. Narges Ahani (VP, Operations Research Analyst III, Bank of America)

What Kind of Mentorship Will I Receive in ARCHES?

Mentorship in applying mathematical optimization and data science theory and methods to pressing real‐world challenges
Hands‐on work with advanced analytical tools (Gurobi, python, machine learning)
Interdisciplinary collaboration and leadership opportunities
In-depth experience in writing manuscripts and grant proposals
Opportunities to publish in top operations research and data science outlets
Development of open-source software and reproducible research practices
Guidance on integrating fairness and ethical considerations into analytical models

Are Visiting Scholars Welcome?

Yes, particularly if your interests align with optimization and social impact
Integration into ongoing projects or new collaborative efforts
Self-funding can be beneficial; even so, let me know your situation
Access to lab resources and participation in ARCHES activities

Are There Funding or Scholarship Opportunities Available?

Competitive research and teaching assistantships available as funding allows
Support for external fellowship opportunities like NSF GRFP (US nationals), Fulbright
Potential to collaborate on writing externally focused proposals (including NSF)
For undergrads: research experiences through NSF REU or project-based stipends
Funding and advising capacity are limited; priority to those whose skills and goals align closely with our research

What Career Paths Do Members Typically Follow After ARCHES?

Academic roles (tenure‐track faculty, postdoc)
Long‐term collaborations with ARCHES on interdisciplinary projects
High‐impact industry, NGO, and consulting positions in optimization and data science
Entrepreneurial pursuits leveraging advanced analytics

Next Steps for Those Ready to Engage

We maintain high standards and seek candidates who align well with our mission. If you are a strong fit, here's how to get started:

Send an email to me and introduce yourself! Tell me who you are, why you do what you do, and which ARCHES areas excite you.
Attach your CV, along with transcripts, GRE, and TOEFL scores (as applicable)
Write a brief, meaningful statement; I'm most likely to follow up with inquiries that are sincere and insightful. Include any examples of your work (code repositories, writing samples) that show your preparation for rigorous research.

I value candidates with strong mathematical and programming foundations, maturity in their work ethic, and a sincere drive to address real-world challenges. If that's you and there appears to be a strong and genuine fit, I look forward to discussing next steps.

Joining Our Research Team