Lodewijk Brand

PhD Student

Lodewijk “Lou” is a PhD alum from the Colorado School of Mines working with Dr. Hua Wang on research in Machine Learning. Lou graduated from Colorado College with degrees in Computer Science and Computational Chemistry. After graduating, he worked for two years in industry before joining the MInDS team @ Mines. Lou’s work on the team is focused on developing novel machine learning algorithms that can be used solve problems with real-world applications. Lou is currently funded through the SMART Scholarship for Service Program with the Navy.

Research Areas

  • Convex Optimization
  • Multi-View Learning
  • Algorithms

Application Areas

  • Alzheimer’s Disease
  • Additive Manufacturing (ADAPT)

Awards

Interests

  • Rock Climbing/Bouldering

Publications

2023

A Linear Primal–Dual Multi-Instance SVM for Big Data Classifications

Lodewijk Brand, Hoon Seo, Lauren Zoe Baker, Carla Ellefsen , Jackson Sargent, Hua Wang

KAIS

Journal

2022

Scaling Multi-Instance Support Vector Machine to Breast Cancer Detection on the BreaKHis Dataset

Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang

Bioinformatics - ISMB

Journal

Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology

Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang

ICKG

Conference

2021

A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications

Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang

ICDM

Conference

A Multi-Instance Support Vector Machine with Incomplete Data for Clinical Outcome Prediction of COVID-19

Lodewijk Brand, Lauren Zoe Baker, Hua Wang

BCB

Conference

Factor Bounded Nonnegative Matrix Factorization

Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang

TKDD

Journal

Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations

Hoon Seo, Lodewijk Brand, Hua Wang

AAAI

Conference

2020

Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data

Hoon Seo, Lodewijk Brand, Hua Wang

BIBM

Conference

Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease

Lodewijk Brand, Braedon O'Callaghan, Anthony Sun, Hua Wang

BIBE

Conference
(Best Paper Award)

Learning Robust Multi-Label Sample Specific Distances for Identifying HIV-1 Drug Resistance

Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang, Feiping Nie

JCB

Journal

Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-based Joint Classification and Regression Model

Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen

PSB

Conference

2019

Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer’s Disease Prediction

Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang, ADNI

TMI

Journal

Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L2,1-Norm Distances

Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie

IJCAI

Conference

Learning Robust Multi-Label Sample Specific Distances for Identifying HIV-1 Drug Resistance

Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang

RECOMB

Conference

2018

Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer’s Disease

Lodewijk Brand, Hua Wang, Heng Huang, Shannon Risacher, Andrew Saykin, Li Shen, ADNI

MICCAI

Conference