HADD Research Group

In the matH of Algorithms, Data & Decisions (HADD) research group, we consider problems motivated by the study of real-world data. We consider the mathematics of data, models for making decisions with data, and methods for training such models. See the Research and Publications pages for more details!

Jamie Haddock

Principal Investigator

Jamie graduated with a BS in Mathematics (minor in Computer Science) from Gonzaga University, before receiving her PhD in Applied Mathematics at UC Davis. She spent three years as temporary faculty at UCLA, before joining Harvey Mudd College. She lives now in Echo Park with her partner Sam and her dog Muncy, and enjoys watching movies, reading, hiking, and playing sports.

Research Students

Joshua Vendrow

UCLA '22 (co-mentor Deanna Needell)
Nonegative matrix and tensor decompositions

Josh is a fourth year undergraduate at UCLA studying computer science and mathematics. Josh is currently interning on the Human and Object Understanding (HOUr) team at Apple, and is interested in research to promote privacy, explainability, and fairness in machine learning models. In his free time Josh enjoys working out and watching Warriors games.

Edwin Chau

UCLA '21
Kaczmarz methods for matrix factorization and tensor decompositions

Edwin graduated with a BS in Computational Mathematics and Statistics from UCLA. He is currently a Data Science Associate at Fisher Investments, and is planning on attending a graduate program in financial engineering.

Kalsuda Lapborisuth

UCLA '21
Convex semi-supervised nonnegative matrix factorization

Kal is a research assistant under Dr. Matteo Pellegrini and Dr. Jamie Haddock, working primarily on developing mathematical models and methods for biological data analysis. She received her B.S. in Computational and Systems Biology with a minor in Mathematics at the University of California, Los Angeles. Fall 2022, Kal will be joining the PhD program in Computational Science and Engineering at the Georgia Institute of Technology!

Moisey Alaev

UCLA '22 (co-mentor Deanna Needell)
Supervised tensor decompositions

Moisey is a fourth year undergraduate at UCLA majoring in Computational Mathematics and minoring in Statistics. Moisey’s research interests include computer vision, deep learning, and implementing machine learning concepts. He is also starting a job as a data engineer and analyst in the summer. In his free time he enjoys playing basketball, playing with his dog, and learning new machine learning architectures.

Alexander Sietsema

Michigan State Univ. '22
Kaczmarz method for rating problems

Alex is a fourth year undergraduate student at Michigan State university studying pure and computational mathematics. His research interests include numerical linear algebra, X-ray CT tomography, compressed sensing, stochastic processes, and sports analytics. In his free time, Alex enjoys playing Ultimate frisbee, escape rooms, puzzles, and watching/complaining about college football.

Hannah Kaufman

Southwest Baptist Univ. '22
Kaczmarz method for rating problems

Hannah is from Forsyth, MO and attends Southwest Baptist University where she is majoring in Math and Physics. She aspires to be a math professor and be able to share her love for math. Currently, she is working on animating videos to help illustrate some aspects of Kaczmarz Methods. Hannah will participating in MIT’s Summer Geometry Initiative (SGI) during the summer of 2022.

Nathan Hu

Williams College '22
Kaczmarz method for rating problems

Nathan is a Junior Math and Computer Science major from Williams College. He grew up outside Chicago in Naperville, IL. His favorite activities to do in his free time are cooking, hiking, and exploring whatever place he finds himself in!

William Gilroy

Harvey Mudd College '22
Kaczmarz method for rating problems

Will was born in the north of the UK amongst shipbuilders and ramblers. He's lucky enough to spend his time thinking about interesting ideas with wonderful people. When he finds a moment, he loves to be around rivers and trees.

Austin Froelich

Harvey Mudd College '23
Kaczmarz method for rating problems

Austin is a Joint Major in Computer Science and Mathematics at Harvey Mudd College. In his free time, the third-year student from South Pasadena, California loves to root for his Los Angeles Chargers and Dodgers, explore little-known corners of the United States, and burn his mouth with the spiciest foods the world has to offer.

Hector Tierno

Harvey Mudd College '23
Iterative methods analysis for opinion dynamics models

Hector was born in Minneapolis Minnesota but lived almost his entire life in Boston Massachusetts. Hector is an under graduate, joint Computer Science and Math major, at Harvey Mudd College. Hector spends his free time rock climbing, and convincing people to go rock climbing with him.

Alicia Lu

Harvey Mudd College '23
Tensor decomposition models for echocardiogram analysis

Alicia was born in China and went to school in Oregon before starting her undergrad at Harvey Mudd. She is a double major of physics and joint CS-Math with a keen interest in computational neuroscience, which is a highly interdisplinary subject that forsters collaboration. Outside of the HADD research group, she also likes to study audio signals, human cognition, and philosophy.

Thesis Students

William Gilroy

Harvey Mudd College '22
Check Yourself Before You WREK Yourself

Will was born in the north of the UK amongst shipbuilders and ramblers. He's lucky enough to spend his time thinking about interesting ideas with wonderful people. When he finds a moment, he loves to be around rivers and trees.

Clinic Groups

Carmen Benitez (HMC class of 2022), Cindy Lay (CMC class of 2022),
An Nguyen (HMC class of 2022), Kobe Rico (HMC class of 2022),
Matthew Waddell (HMC class of 2022)

Sponsor: Harvard Center for Computational Biomedicine
Semi-automatic Mapping of Medical Data onto Ontologies

Alumni

Chen Yap

UCLA '21
Kaczmarz methods for average consensus systems

Richard Yim

UCLA '21 (co-mentor Deanna Needell)
Statistical feature selection techniques

Chuqi Bian

UCLA '21
Convex semi-supervised nonnegative matrix factorization

Sixian Li

UIUC '21
Semi-supervised nonnegative matrix factorization

Olivia Heiner

UCLA '21
Learning optimal hyperparameters for Sampling Kaczmarz-Motzkin

Kevin Liu

UCLA '20
Topic and trend modeling for NBA data

Runyu Zhang

Peking Univ. '19 (co-mentor Deanna Needell)
Neural nonnegative matrix factorization for hierarchical topic modeling

Tyler Will

Michigan State Univ. '20 (co-mentor Deanna Needell)
Neural nonnegative matrix factorization for hierarchical topic modeling

Simon Sun

Peking Univ. '19 (co-mentor Deanna Needell)
Neural nonnegative matrix factorization for hierarchical topic modeling

Joy Song

Tsinghua Univ. '19 (co-mentor Deanna Needell)
Neural nonnegative matrix factorization for hierarchical topic modeling

Sneha Sambandam

UCLA '20 (co-mentor Deanna Needell)
Neural nonnegative matrix factorization for hierarchical topic modeling

Mengdi Gao

UC Irvine '19 (co-mentor Deanna Needell)
Neural nonnegative matrix factorization for hierarchical topic modeling

Eric Chen

UCLA '20 (co-mentor Deanna Needell)
Classification on Large-scale Lyme Disease Data

Rong Huang

UCLA '19 (co-mentor Deanna Needell)
Classification on Large-scale Lyme Disease Data

Diyi Liu

Shanghai Jiao Tong Univ. '19 (co-mentor Deanna Needell)
Classification on Large-scale Lyme Disease Data

Catherine Wahlenmayer

Gannon University '20 (co-mentor Deanna Needell)
Classification on Large-scale Lyme Disease Data

Ada (Jiewen) Wang

UCLA '19 (co-mentor Deanna Needell)
Classification on Large-scale Lyme Disease Data

Collaborators

Miju Ahn
Jesus A. De Loera
Nicole Eikmeier
Rachel Grotheer
Benjamin Jarman
Lorraine Johnson
Lara Kassab
Alona Kryshchenko
Kathryn Leonard
Anna Ma
A. Madushani
Thomas Merkh
Denali Molitor
Deanna Needell
Luis Rademacher
Nazanin Rahnavard
Liza Rebrova
Elena Sizikova
William Swartworth
Chuntian Wang
Alireza Zaeemzadeh