Algorithms Team

Weaving data science pervasively throughout our business

"There's an algorithm for that!" (Take the tour to learn more.)

From the algorithms blog

Towards Service Deployment Agility

Justin Lee, Kurt Bollacker, Oz Raza, Ujjwal Sarin, and Alex Milowski on September 19, 2023
Ariadne: building a custom observability UI for personalized search

Natalia Bilenko and Javad Hashemi on June 13, 2023
Accelerating AI: Implementing Multi-GPU Distributed Training for Personalized Recommendations

Susrutha Gongalla on June 08, 2023

Our Pulse

A row of data analysts working on laptops

Data artistry: We love what we do: Quantify art and fashion to build recommendation algorithms to make our clients look their best.
Technological greenfield: We’ve built just a fraction of the tools and solutions that we need. The combination of data and fashion puts us in a unique place where we can forge the next generation of tools and methods.
Focus on what matters: Our data is information-rich and resides in robust and easy to access platforms. This allows us to focus on the models, methods, and code to achieve our objectives.

Our Teams

A casual discussion between Stitch Fix employees

Client Algorithms: Understand our clients, predict their demands, and optimize operations.
Styling Algorithms: Meet the recommendation engineers: Where the art and fashion is quantified and shipped.
Merch Algorithms: Mastering the science of clothing, inventory, and complex logistics.
Data Platform: Build robust and powerful technologies to store, access, and compute data.

Academic Collaborations

Social Algorithms Labs @ Stanford (SOAL): The Algorithms team works closely with SOAL where a group of interdisciplinary researchers focus on social and economic science and computational science and algorithms.

Stanford Industry Affiliates: We are a member of the Industrial Affiliates Program of the Statistics Department at Stanford, helping us stay abreast of the latest statistical techniques and build relationships with statistical researchers.

algorithms Team

Andy Almand-Hunter — Andy Almand-Hunter
Data Platform

Andy likes espresso, rock climbing, and computer code. He loves the unreasonable effectiveness of mathematics in everything from physics to fashion. Hails from Maine.

Patrick Foley — Patrick Foley
Styling Algorithms

Patrick enjoys math and maps, and he loves Arizona (U of A) college basketball. He is language agnostic, and prefers trying the simplest things first. AZ -> CA -> PA -> CA.

Tara Lydiard-Martin — Tara Lydiard-Martin
Client Algorithms

Tara loves using data and visualizations to make complex systems feel intuitive. In her free time she enjoys ultimate frisbee, dancing, and the Brazilian martial art of capoeira. Hails from Seattle.

Oz Raza — Oz Raza
Data Platform

Oz enjoys trying to distill complex interactions into their most basic parts using machine learning. In his free time he can be found reading, climbing, playing at the FLGS, and exploring San Francisco through it's restaurants and coffee shops. Most recently hails from Canada.

Chris Rinaldi — Chris Rinaldi
Merch Algorithms

In a previous life, Chris worked with the Department of Homeland Security and the US Army to create predictive models and perform threat analyses. Now, he uses data to help design and analyze clothing.

Dan Tasse — Dan Tasse
Merch Algorithms

Dan grew up writing code, then discovered that the most fun part of that was learning new things from data. You might find him traveling to kind of inconvenient places. Also: bikes, coffee, amaro, Talking Heads, word games, Pittsburgh.

Chris Moradi — Chris Moradi
Styling Algorithms

Chris likes to learn new things and share what he knows with others. He believes his jokes are like fine wine: they get better with age and benefit from being explained in great detail. In his free time, he writes music and likes to spend time with his teacher/comedian wife and high-fiving cat, Agent Cooper.

Mark Dijkstra — Mark Dijkstra
Global Optimization

Mark loves simplicity in models, and using data to understand complex phenomena. Hails from the Netherlands, though a career in astronomy led him all over the world with his family for many years. It seems only fitting he now works on global optimization. Mark also likes the ocean, its inhabitants, SUP, and lifeboats.

Natalia Gardiol — Natalia Gardiol
Styling Algorithms

Natalia loves brains and figuring out how they make decisions under uncertainty. She holds a PhD in computer science from MIT, and is fond of riding, racing, breaking, fixing, and falling off of all kinds of bicycles. On a constant lookout for pithy epitaphs, Natalia believes a good bias is hard to find.

Meaghan Paulosky — Meaghan Paulosky
Data Engineering

Meaghan was first bitten by the data bug when she tried analyzing the impact of sleep deprivation on college test scores in lieu of submitting a term paper. Her professor still made her write the paper, but she decided to continue building analyses that could make life a little easier. Other interests include hiking, road trips, and trying out new hobbies - currently it’s boxing. Hails from Philadelphia, but she will not chant EAGLES. Go Big Blue!

Diane Ivy — Diane Ivy
Merch Algorithms

Diane loves finding answers from data. While originally from South Carolina, she loves the Bay Area and is happy to have escaped New England winters. Interests include running, yoga, Dunkin' Donuts iced coffee, and her dog (Oscar).

Diyang Tang — Diyang Tang
Merch Algorithms

Diyang loves using data to figure things out. Similarly, she likes puzzlehunts, orienteering, knitting, and fiction book clubs.

Daniel Marthaler — Daniel Marthaler
Merch Algorithms

Daniel Marthaler is an applied mathematician on the Merch Algorithms team trying to figure out how to make computers learn to learn. He surrounds himself with labradoodles, good conversation and people who like building legos.

Mithila Joshi — Mithila Joshi
Data Platform

Mithila loves building data products that power decision making and is super excited to be working in the realm of Fashion and Technology (A dream job she never thought was possible!) Outside of work, she enjoys a cup of tea (chaivinist alert!), a good mystery novel, traveling, dancing (Bollywood, [Ball/Bath]room) and eating all things spicy though she is mostly found wolfing down desserts.

Reza Sohrabi — Reza Sohrabi
Styling Algorithms

Reza loves working at Stitch Fix because it is at the forefront of applying machine learning to real-world problems. He is passionate about AI, especially NLP. He loves cooking, taking long walks, listening to post-rock music, and playing chess and poker.

Ivan Teo — Ivan Teo
Client Algorithms

Ivan used to simulate biomolecular systems in a past life. He now spends much of his time tackling more macroscopic problems using statistics, machine learning, and sometimes pure guesswork. Outside of work, he enjoys wine, whisky, rockclimbing, hiking, playing the piano, and aiki-jujutsu.

Han Lai — Han Lai
Merch Algorithms

Han comes from the background of semiconductor physics using math to describe physical phenomenon. Now he spends his time using math to describe human behaviors. Outside of work, he enjoys football, cooking, craft beer and hiking.

Jared Vasquez — Jared Vasquez
Merch Algorithms

Jared has a background in experimental particle physics, where he led teams within the ATLAS collaboration performing precision measurements of the Higgs boson. Since leaving academia, Jared has worked as a data scientist creating production models for use cases in finance, aviation, and renewable energy. He enjoys music, bad movies (some good ones), and spending time with his dog.

Ada Draginda — Ada Draginda
Recommendations

Ada is passionate about connecting people with data to provide insights and enable automation. She loves helping people achieve their goals - their goals are her goals! She has had a diverse career history having worked in the fields of astronomy, agriculture, and climate science. Besides programming, Ada enjoys running, board games, playing music, and following her Canadian hometown ice hockey team.

Jim Kubicek — Jim Kubicek
Data Engineering

Jim joins us from Collective Health where he lead the Data Engineering team. Previously he has worked at Twitter, Smule and Capital One. He has a PhD in Mechanical Engineering, but likes to talk about his research more than he likes to actually perform his research. In his spare time he enjoys backpacking, snowboarding and teaching his little girls how to eat spicy food.

Susan Chin — Susan Chin
Data Engineering

Susan loves unearthing interesting patterns behind data and empowering people to make decisions based on numbers. She has a sweet tooth and is obsessed with boba. Born in Burma, but loves to call San Francisco her home and can be found at various dog parks with her dog, Benji, on the weekends.

Katherine Schinkel — Katherine Schinkel
Merch Algorithms

Katherine is a Bay Area transplant from the East Coast with diverse industry experience ranging from dating apps to bra sizing and from startups to larger companies. When not optimizing everything, Katherine enjoys sharing her new hobby of mixology with friends and family.

Brent Follin — Brent Follin
Inventory Forecasting

Brent ranks style guides, containers, and API contracts somewhere in the top 10 of mankind's inventions. A data scientist by training, outlook, and title, he also often finds himself diving into infrastructure, frameworks, and system architecture to get data insights delivered in the best, most scalable way. An Appalachian transplant, Brent has a mountain soul, and spends his free time finding new quiet places in and around the Bay.

Ramandeep Singh — Ramandeep Singh
Data Platform

Ramandeep has a background in distributed systems, java virtual machine, concurrent programming and machine learning. He likes to blog, read sci-fi and non fiction novels, and go on long drives.

Aaron Rosenbaum — Aaron Rosenbaum
Client Algorithms

Aaron is a data scientist with a background in financial policy. He’s from New Jersey but doesn’t miss the east coast weather. He enjoys machine learning and experiments of all kinds, including with his pressure cooker.

Stefan Müller — Stefan Müller
Client Algorithms

Stefan is a Math professor turned data scientist who loves solving open-ended problems. He enjoys traveling the world (and occasionally stays somewhere for a few years), spending time outdoors / exercising, and being a dad to two boys. Sometimes plays or coaches football, and refuses to refer to it as soccer. Also a coffee snob and beer/wine enthusiast. Hails from Germany.

Matt Burgess — Matt Burgess
Merch Algorithms

Matt is a computer scientist with a broad range of interests and a preference for application but an appreciation for theory. He loves growing flowers in his garden and riding his bike around the bay area.

Nathan Selikoff — Nathan Selikoff
Data Platform

Nathan has been programming and making art since he was a little kid, sitting at a Commodore 64 staring at that blinking cursor - the pulse of possibility. He loves bringing interactive experiences to life, playing music with friends, gardening, and fermenting all the things.

Tiffany Cheng — Tiffany Cheng
Merch Algorithms

Tiffany enjoys grappling with ambiguous problems and embarking upon the nonlinear adventures that they often yield. Her background is in statistics and public health. Outside of work, she enjoys hiking, running, improving her turnout for ballet, and catching performing arts shows around the Bay.

Jonah Liebert — Jonah Liebert
Data Platform

Jonah loves working with collaborative folks building practical, useful systems and software. He enjoys time with his family most of all. Otherwise, he can often be found admiring and listening to records - mostly Metal, Rock & Jazz.

Merve Kovan — Merve Kovan
Global Optimization

Merve enjoys understanding the big picture and filling in the puzzle pieces with data. Puzzles are in her life outside of work, as well as reading, dancing and making things (via knitting, cooking and random arts and crafts).

Vasanth Kalingeri — Vasanth Kalingeri
Merch Algorithms

Vasanth enjoys building models for diverse applications and engineering systems. Outside of work, he likes to spend time swimming or doing yoga.

Meng Zhao — Meng Zhao
Merch Algorithms

Meng's background is in statistics and survival analysis. She previously worked on pricing and yield management for perishable inventory and is interested in all kinds of optimization problems. She enjoys rock climbing, card games, and traditional drawing, and is constantly yearning to be back in the Canadian Rockies.

Dirk Sierag — Dirk Sierag
Styling Algorithms

Dirk Sierag has a strong background in applying data science and operations research in pricing and revenue management for airlines, hotels, and live events. Dirk loves traveling across the world, to experience all of the rich cultures and extraordinary life and nature on our lovely planet.

Colin Jemmott — Colin Jemmott
Styling Algorithms

During the day Colin builds recommender systems, but often sneaks off for bike rides. His weekends are filled with gardening, making things from wood and steel, and tinkering in the shop.

Sue Ye — Sue Ye
Styling Algorithms

Sue is a data scientist interested in all kinds of recommendations and NLP algorithms. Besides work, she has the best badminton and cooking skill among the friends who likes playing piano.

Tom Plagge — Tom Plagge
Merch and Ops Algorithms

Tom is a data scientist and recovering astronomer. He enjoys all manner of outdoors activities and is an enthusiastic, if not altogether competent, cook and homebrewer. He lives in the East Bay with his wife and twin girls, his dog, his good cat, and his evil cat.

Tianji Li — Tianji Li
Data Platform

Hacker, dad of two.

Susrutha Gongalla — Susrutha Gongalla
Fix Recommendations

Susrutha is a data scientist who recently transitioned into machine learning engineering. She is passionate about seeing her work have an impact in the real world. Outside of work, she loves to play with her dog and spend time outdoors!

Kriti Bansal — Kriti Bansal
Data Engineering

Kriti loves churning data and solving business problems. She is creative, inquisitive, analytical and a quick learner. Spicy food is an absolute guilty pleasure. Outside of work, she could be found travelling or on her couch, binging on a web series.

Luran He — Luran He
Client Algorithms

Luran loves cooking, chess, reading, and singing, but is only any good at two of them. His background is math but his greatest weakness is simple arithmetic.

Vinod Cheriyan — Vinod Cheriyan
Merch Algorithms

Vinod loves working with teams and models (the beautiful, mathematical kind). He is passionate about building systems that lie in the intersection of OR and ML, data science and software engineering. In his spare time, he loves to read, solve math puzzles, do calligraphy and write short poems.

Javad Hashemi — Javad Hashemi
Shopping Algorithms

Javad is a data scientist interested in NLP, search, and AI ethics.

Sam Lind — Sam Lind
Client Algorithms

Sam is a lapsed mathematician who loves the NBA, trashy TV, and writing about himself in the third person. He used to live in Brazil and so speaks Portuguese every chance he gets, in spite of the fact that he is introverted. His passion for creating shareholder value is exceeded only by his love for aimless city walks around San Francisco.

Dana Faiez — Dana Faiez
Merch Algorithms

Dana is a data scientist with a background in physics and interested in NLP. She spends her free time playing table tennis, painting, and volunteering for non-profits.

Gautam Narula — Gautam Narula
Global Optimization

Gautam is a data scientist, ML engineer, and author. He's also a competitive chess player, a not-so-competitive weightlifter, an aspiring pizzialo/pizzeria owner, a foodie, a coffee and chai snob (but he's not annoying about it, promise!), and the host of monthly Nicolas Cage movie nights.

Come Work with Us!

We’re a diverse team dedicated to building great products, and we’d love your help. Do you want to build amazing products with amazing peers? Join us!