Eigenvector University returns to Seattle, USA May 12-16, 2025 Complete Info Here!

Eigenvector University 2024

May 6, 2024 - May 10, 2024

Seattle, Washington


Registration Now Open!

Eigenvector Research, Inc. is pleased to announce our 18th annual Eigenvector University. EigenU 2024 includes sixteen short courses in chemical data science, i.e. chemometrics. This includes mathematical, statistical, machine learning and artificial intelligence methods as applied to problems in the analysis of data from chemistry and the life sciences. EigenU courses are led by the Eigenvector staff including PLS_Toolbox creator and Eigenvector co-founder Barry M. Wise, Eigenvector co-founder Neal B. Gallagher and the whole Eigenvector Staff. The courses are held in Seattle, USA at the Washington Athletic Club. EigenU also includes a Workshop Dinner, and a PowerUser Tips, Tricks & Poster Session.

About Seattle

Seattle
Seattle, sandwiched between Puget Sound, Lake Washington and Lake Union, and the Cascade and Olympic mountain ranges, is a distractingly beautiful city and mecca to outdoor sports enthusiasts. Yes, it rains, but that doesn’t stop the natives from taking advantage of the local terrain. For a city of its size, Seattle also has an amazing array of restaurants. Check out the Seattle Eater Restaurant Guide. To get a good view of the city, take a ride on one of the many Washington State Ferries or visit the top of the Space Needle. Be sure to check out Pike Place Market and the Seattle Art Museum. You’ll also find an amazing variety of coffee and beer in Seattle, which is home to StarbucksSeattle’s Best CoffeeTully’sRedhookHalesPyramidBig TimePike Brewing and many smaller roasting and brewing companies. Seattle is also the original home of Boeing and the Museum of Flight. If you want general visitor information, check out the Seattle Visitor Information Center.

Who should attend EigenU?

Our Chemical Data Science Courses are aimed at chemist, life scientists and engineers who want to be able to analyze their own laboratory or process data, develop their own data models or develop instruments that produce analytical data. The courses are especially well suited for those with an interest in process analytical technology (PAT) in the pharmaceutical industries, metabolomics, and systems biology. The courses are also useful for those that manage staff that generate and analyze data. The courses serve individuals with a need for exploratory data analysis, development of predictive models such as analytical instrument calibrations, sample classification, soft sensor models, multivariate statistical process control (MSPC), fault detection, instrument standardization and sample classification. No prior knowledge is needed to begin Eigenvector University although some knowledge of basic statistics and elementary linear algebra is useful.

About the instructors

The entire Eigenvector staff will be on hand for Eigenvector University. This includes Eigenvector Research President and PLS_Toolbox creator Barry M. Wise, Vice-President and co-founder Neal B. Gallagher, Technology Principal Bob Roginski, Principal Consultant and Data Scientist Manny Palacios, and Software Developers R. Scott KochDonal O’SullivanLyle Lawrence, and Sean Roginski.

Class Schedule

The TENTATIVE course schedule for the 2024 Eigenvector University courses, User Poster and Tips & Tricks Session, and Workshop Dinner is shown below. Class times are given below the course schedule. New this year we are offering our Linear Algebra and MATLAB classes online in the week before EigenU rather than on Sunday.

Date Time
April 30 AM Linear Algebra for Machine Learning Online!
May 2 AM MATLAB and PLS_Toolbox for Machine Learning Online!
Meisnest Room Course Heritage Room Course
May 6 AM Chemometrics I – Principal Components Analysis
Monday PM Chemometrics I – PCA continued
May 7 AM Chemometrics II – Regression and Partial Least Squares Data Visualization from Simple Plots to UMAP
Tuesday PM Chemometrics II – Regression and PLS continued Model Deployment
May 8 AM Advanced Preprocessing for Spectral Applications Design of Experiments
Wednesday PM Variable Selection Multi-block, Multi-level, Multi-set and Data Fusion
Evening PLS_Toolbox/Solo PowerUser Tips & Tricks and Poster Session
May 9 AM Clustering and Classification Classical Least Squares (CLS) Methods
Thursday PM Optimized and Hierarchical Models Multivariate Curve Resolution
Evening Workshop Dinner
May 10 AM Non-linear Machine Learning for Calibration and Classification Bring Your Own Data (BYOD) Workshop
Friday PM Non-linear Machine Learning continued BYOD continued

Typical days in each course will be as follows:

07:30 – 08:30 Check-in and continental breakfast
08:30 – 10:00 Instruction
10:00 – 10:15 Break (coffee and tea)
10:15 – 12:00 Instruction
12:00 – 13:00 Lunch (provided)
13:00 – 15:00 Instruction
15:00 – 15:15 Break (coffee, tea, sodas, snacks)
15:15 – 16:30 Instruction
17:30 – 20:00 Poster Session, PowerUser Session, Workshop Dinner

PLS_Toolbox/Solo PowerUser Tips & Tricks and Poster Session

OK, so you know how to make basic PCA and PLS models. But how do you capture the full power of Eigenvector software? Come to the PLS_Toolbox/Solo PowerUser Tips & Tricks session and we’ll show you! We’ll also be hosting the User Poster Session in conjunction with the tips and tricks course, and the whole event is free! The Poster Session is a chance for PLS_Toolbox and Solo users to showcase their own chemometric achievements and share results and remaining problems with other users and the EigenU instructors, and you can learn additional tips and tricks at the same event! Presenters of the two best posters, as judged by EVRI staff, will be awarded Bose SoundLink Flex Bluetooth Speakers!  Join us from 5:30-8:30 on Wednesday, May 10, and we’ll show you these tricks and many more, and feed you dinner! This course is free to all EigenU attendees and those that submit posters!

If you would like to present your work, please send a title and brief abstract to bmw@eigenvector.com. Please be sure to describe how PLS_Toolbox, Solo or our other software products were used in the work.

Workshop Dinner

Join us at 6:30 on Thursday, May 11 at Torchy’s for a great meal and chance to unwind with your new chemometric colleagues. Enjoy the upscale yet relaxed atmosphere as the WAC’s Chef Will prepares fresh seasonal cuisine. Order from a special limited menu developed for us by the WAC’s culinary experts. We’ll provide plenty of beverages, including Northwest beers and wines selected from Torchy’s extensive cellar.

Course fees

Prices for EigenU 2023 are shown below.

To get the Early Registration rate, payment must be received on or before April 7, 2023. Non-academic rates are shown in the table below. For academic pricing see note under table.

Course Item
Early
Regular
Online Pre-EigenU Course
$195
$245
Any One Day Course
$795
$845
Any Two Days
$1495
$1595
Any Three Days
$2175
$2325
Any Four Days
$2825
$3025
All Five Days
$3445
$3695
Special Academic Rate, flat per day rate
$375
$395
Workshop Dinner, Thursday, May 19
$95
$105

Note: payment must be received on or before April 7, 2024, in order to get the discounted Early Registration price. If payment for Early Registration is not received by April 7, we will re-invoice you at the Regular Registration rate. Acceptable forms of payment include MasterCard, VISA and checks drawn on a US bank. Wire transfers can also be arranged.

Academic discount: University students and faculty are eligible for the flat per day rate of $375 (early registration with payment by April 7, 2024) or $395 (after April 7). Academic rates for the Pre-EigenU Online courses is $95 early, $145 regular. Verification of University affiliation is required by providing valid university mailing and e-mail address.

Group discount: Do you have three or more people in your company who would like to attend EigenU 2024? Write to orders@eigenvector.com and we’ll get you a quote.

PLS_Toolbox discount: All attendees can purchase PLS_Toolbox for MATLAB or Solo software for $200 off the current regular (non-academic) rate as part of the course.

Registration, deadlines and cancellations

To register, login to your Eigenvector account, or create an account, then select the classes you would like to attend. You can pay directly with your MasterCard or VISA using our secure credit card processing, or ask to be invoiced. Payments must be received by April 7, 2024, in order to get the early registration prices.

Complete refunds will be made for cancellations prior to April 7, 2024. Cancellations after that date will be assessed a $250 cancellation fee.

Course venue and lodging

EigenU will be held at the Washington Athletic Club, the nation’s premier city athletic club. A special discounted room rate of $189/night (single or double, plus 15.6% tax) has been arranged for course participants. All accommodations include the comforts of our Sealy Palatial Crest Plush bed, featuring 300+ thread count Egyptian cotton sheets, a selection of down and synthetic pillows, extra-thick mattress pad and a Robert Allen origami top sheet. Our bathrooms feature spa-inspired amenities featuring Molton Brown products, LED makeup mirrors and multiple body-spray showers. Additional in-room amenities include complimentary Keurig Starbucks coffee and various tea assortments, iron and board, waffle terry cloth robes and windows that open. The upgraded guestroom technology will feature 100% High Definition channel lineup, Slim Line HDTV, and complimentary high-speed Wi-Fi.

The discounted room rate is based in the standard WAC guest room. This is approx. 225 – 250 sq. ft. and offers either one queen or 2 double beds.

For reservations, please advise which room type you would prefer, all guest names in the room and the credit card number to secure the reservation. Once confirmed, the WAC will email the confirmation letter to you.

Our block of rooms will be released on April 7, so reserve early! Please contact the WAC at (206) 622-7900, or by email at innreservations@wac.net. Be sure to mention “Eigenvector University” when you make your reservations.