CV

Instructor of Record, OR 6205 Deterministic Operations Research

Northeastern University

Graduate course, full responsibility for course design, instructional materials, in-class active learning, assessment design, lecturing, feedback, and project mentoring.

• Rated above departmental means for instructor enthusiasm, sufficiency of feedback, inclusive learning environment, and organization of course materials
• Negotiated syllabus components with the class; a student noted that I “was able to listen to our feedback to make the course better”
• Mentored five graduate student projects across several engineering disciplines

Graduate Teaching Assistant and Curriculum Developer

Northeastern University

IE 7200 Supply Chain Engineering, IE 6200 Engineering Probability and Statistics, IE 5617 Lean Concepts and Applications (four terms), and IE 4516 Quality Assurance.

• Led a complete redesign of the teaching materials for IE 4516 Quality Assurance, with Prof. Hugh McManus and Dr. Rehab Ali, restructuring them around experimental, simulation-based, and project-based learning
• Taught the Process Control and Six Sigma Basics module and the Quality Tools and Topics module independently (Summer I 2025). In the end-of-term student ranking of all 17 class sessions, these placed 3rd and 7th, at 4.81 and 4.67 on a 5-point scale, above the instructor’s own scores for the same sessions
• Revision materials for IE 6200 Engineering Probability and Statistics (Summer I 2026, Prof. Doug Schmucker). Analyzed the materials and assignments against AI usage and reviewed material from a student perspective; created answers with different prompts using AI to test robustness of assignments to use of artificial intelligence. Weekly meetings with the professor, and a feedback report for all course materials

Doctoral Researcher

Operations Research and Social Justice Lab, Northeastern University

Network optimization models for multi-agency coordination against labor trafficking, including a new formulation for dependent interventions on shared network elements.

• Cleaned and analyzed three public datasets (500,000+ records) in Python to study labor violation patterns and inspection strategy
• Elicited intervention probabilities from anti-trafficking practitioners for use as model parameters
• Partners: U.S. Department of Homeland Security Criminal Investigations and Network Analysis (CINA) Center; criminal justice researchers at Northeastern

Lead Student Researcher and Graduate Teaching Assistant

University of Texas Rio Grande Valley

Bayesian decision modeling for trafficking detection at U.S. ports of entry, and a qualitative study of Latina students’ experiences in STEM.

• Responsible for the IRB protocol and approval on the STEM identity study; led a five-member undergraduate research team and worked with the faculty team on interview plan, design, and conduct
• Analyzed first-phase transcripts using narrative inquiry with a priori and emergent coding and member checking
• TA for Engineering Management, Manufacturing Production and Control, and Operations Research; created tutorial sessions and instructional videos during the pandemic transition

Graduate Researcher and Teaching Assistant

Universidade Federal do Rio Grande do Sul

Evaluated resource allocation across the network of services for survivors of domestic and gender-based violence, in partnership with the state public security department.

• Data envelopment analysis on crime and social service data across 450+ municipalities using R, combined with structured expert validation
• Mapped multi-service provider flows, survivor pathways, and information pathways through the system
• TA for Manufacturing Production and Control across three terms

Research Coordinator and Teacher, STEM Pedagogy

Universidade Federal do Rio de Janeiro

Coordinated a faculty group assessing a learning-by-working pedagogical model at a project-based public middle school serving a gang-controlled community.

• Coordinated the engineering, design, and technology curriculum for 90+ students per year
• Managed an interdisciplinary team of 10-15 undergraduate interns
• Designed and taught experiential modules integrating engineering and design for students aged 11-16 through boat design and construction

Earlier professional experience in finance, design, and operations

COMLURB, MRS Global, Nano Presentes, Sulamérica Seguros

Financial analyst and administrative roles, plus a small design business of my own.

• COMLURB: secured 100% budget approval at annual town hall meetings by presenting complex financial analysis to non-technical stakeholders; reduced contract and inventory costs by 30%
• MRS Global: designed automated validation protocols for financial control databases, reducing error-correction workload by 60%
• Nano Presentes: founded and ran a design retail business; secured national blog and press coverage

PhD

Northeastern University

Industrial Engineering

• Dissertation: Collaborating Agents and Network Interdiction Models
• Advisor: Dr. Kayse Lee Maass. Committee: Dr. Shahin Shahrampour, Dr. Gabriela Gongora Svartzman
• Expected December 2026, defense scheduled 2 December 2026

Certificate

Northeastern University

Post-secondary Teaching

• Capstone: course design for System Engineering in Public Programs and Deterministic Operations Research

MS

University of Texas Rio Grande Valley

Engineering Management

• Thesis: A Framework to Identify Human Trafficking at the U.S. Border (Advisor: Dr. Hiram Moya)

MS

Universidade Federal do Rio Grande do Sul

Business Administration

• Thesis: Relative Efficiency Analysis of the Women’s Crisis Center Network in Rio Grande do Sul (Advisor: Dr. Denise Lindstrom)

MPS

Universidade do Estado do Rio de Janeiro

Finance and Planning

• Project: Financial and Sporting Efficiency of Brazilian Soccer Clubs (Advisor: Dr. Francisco Pessanha)

BA

Universidade Federal do Rio de Janeiro

Industrial Design, Product Design

• Project: Trebuchet: A Multidisciplinary Pedagogical Game (Advisor: Dr. Roosewelt Telles)

Enhancing detection of labor violations in the agricultural sector: A multilevel generalized linear regression model of H-2A violation counts

PLOS ONE, 19(5), e0302960. Refereed journal article

A multilevel regression model of H-2A visa and labor violations, built to help the U.S. Department of Labor target limited investigative capacity toward the producers most associated with violations, including those that can indicate labor trafficking.

Collaboration in anti-trafficking efforts: A network interdiction problem with multiple dependent attacks

Job market paper. Working paper, results analysis. Target: Production and Operations Management, September 2026

What happens to a coordinated enforcement decision when several agencies act on the same part of a network and their actions do not combine independently. Defines the class of functions satisfying four axioms rather than assuming one algebraic form, and gives an exact linearization with dual bounds. Two results are aimed at a management audience: the cost of assuming independence, and the coordination gap between a centralized task force and the same agencies spending separately.

Multiple attacks in network interdiction problems: A scoping review

Working paper. Revision complete. Target: Networks, submitting September 2026

A PRISMA-ScR review registered on OSF, across four databases with two independent reviewers screening and extracting. Establishes that independence, or the absence of same-element multiplicity altogether, is the norm in the literature. Registered protocol: https://pridrum.github.io/assets/pdf/Drummond_ScR_Protocol_2024.pdf

Network interdiction to improve labor trafficking detection in the U.S. agricultural sector

Revise and resubmit at Decision Sciences

Applies network interdiction to collaborative detection across the Department of Labor and the Department of Homeland Security.

Optimal bounds and complexity for network interdiction with multiple interventions

Working paper. Results analysis. Target: Operations Research

Under a logarithmic transform the problem is shortest-path interdiction and therefore NP-hard. The claim is narrower and more useful: structure discovery is polynomial and independent of the choice of function, and the optimal intervention can be restricted to a candidate set determined by which parts of the network are in play.

Algorithms for network interdiction problems with non-convex functional attacks

Working paper. Model and algorithm ready, coding in progress. Target: European Journal of Operational Research

A three-phase procedure, structure recovery, depth determination, and budget allocation with re-optimization after each commitment, verified against exhaustive enumeration on instances small enough to permit it, and reported by structural case.

Unintended consequences of enforcement in labor trafficking networks: geographic displacement, operational fragmentation, and compliance switching

Research in progress. Ideation and literature review stage, resuming after degree completion. Target: Manufacturing and Service Operations Management

When poorly coordinated enforcement displaces an operation or fragments it rather than disrupting it, and what a decision-maker can do about that in advance.

Teaching fellowship impact on industrial engineering teaching education: An auto-ethnographic account by a student

Research in progress. Data collection, cleaning and initial literature review ready, resuming after degree completion. Target: Journal of Engineering Education

Narrative and autoethnographic analysis of how mentored teaching shapes an instructor’s confidence and identity.

U.S. ports of entry's decision model with an anti-human trafficking focus

Decision Sciences Institute Proceedings. Refereed conference proceedings

A Bayesian decision model with cost-benefit analysis for when officers at U.S. ports of entry should escalate a screening for possible human trafficking.

College of Engineering Outstanding Graduate Teaching Award

Northeastern University College of Engineering

College-level teaching award.

Tau Beta Pi, Engineering Honor Society

Tau Beta Pi

Outstanding Student Award for Academic Achievement

University of Texas Rio Grande Valley