Edward Lam
Research Fellow at Monash University
Greater Melbourne Area Australia
Summary
👤
Senior🎓
Top SchoolEdward Lam is a Research Fellow and combinatorial optimization specialist with a decade of experience developing decision-making and analytics systems for operations planning, including delivery routing, warehouse operations and workforce scheduling. Based at Monash University in Greater Melbourne, he applies PhD-level computer science and mathematics training to solve problems where off-the-shelf software falters due to scale or complexity. Edward combines research rigour with practical deployment, turning theoretical models into production-ready tools for logistics and transport. He is known for tackling real-world constraints—data sparsity, operational heterogeneity, and tight runtime budgets—to deliver actionable optimization solutions.
10 years of coding experience
The University of Melbourne
Github Skills (31)
cut10
mixed-integer-programming10
combinatorial-optimization10
minizinc10
shortest-path10
bcp10
discrete-optimization10
multi-agent9
sat9
agent9
branch-and-bound8
hash8
optimization8
sat-solver8
constraint-programming8
Programming languages (2)
Github contributions (5)
ed-lam/nutmeg
Jan 2020 - Jun 2021
Contributions:11 commits, 18 pushes, 5 branches in 1 year 5 months
ed-lam/bcp-mapf
Jan 2020 - Nov 2021
BCP-MAPF – branch-and-cut-and-price for multi-agent path finding
Contributions:125 commits, 2 PRs, 32 pushes in 1 year 10 months
multi-agentfindingbcpmapfcombinatorial-optimization
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