# alexander iannantuono ['ja.nan.two.no]

Myself, circa 2016

http303 -> 127.0.0.1

Kelowna, BC

Canada, V1V 000

I am a MSc student in mathematics at the University of British Columbia Okanagan Campus. I am working under the supervision of Yves Lucet. I graduated *virtually* from McGill University with a BSc in mathematics and computer science.

### Research

**Current**: nothing for now! just taking neat classes.

In the *near* future: optimization for road design applications

#### Timeline

##### 2020

- Worked on a neat class (MATH562 at UBCO with Warren Hare) project which involved investigating surrogate problems in (black box) optimization.
- I wrote a small document to gather my thoughts (as well as data and figures) in preparing for a presentation.
- Coding in MATLAB + Python was involved, code is available on GitHub

- Worked on a project that aims to provide a measure of
*confidence*that a deep neural network has given some classification task- Pre-print on arXiv
- Recently chosen for a spotlight presentation at the ICML 2020
*Uncertainty & Robustness in Deep Learning*(UDL) workshop

##### 2019

- Worked with Aram-Alexandre Pooladian on a project involving Deep Learning (DL) perturbation attacks using a Langevin dynamics based approach (preprint)
- Worked on an algorithm that became the No-collision transportation maps paper

##### Interests

- Optimization
- Optimal transport
- Numerical methods
- Machine learning
- Distributed and parallel computing

I hope to specify further as stronger interests develop.

#### Small Talk Topics

*Some* hobbies of mine that do not pertain to the above

- Bicycles: cycling, maintenance, etc.
- Collecting (vinyl) records, high-fidelity sound
- Almost anything digital: repair, building, design, etc.
- Photography (sometimes with
distortion), graphic design and typography*artistic* - Tinkering in the vain of N-O-D-E’s projects

##### Nationality: Canadian

##### Languages (spoken + written):

- English
- French
- ~Italian (looking to improve)

#### Colleagues & Friends

- Shereen Elaidi
- Tiffany Yong
- Anna Brandenberger
- Aram Pooladian
- Diego Lopez
- Chris Finlay
- Mariana Prazeres

## news

Oct 23, 2020 |
I will be giving a talk on the No-collision transportation maps work at the COCANA on |
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Jul 5, 2020 | Work on using Out-of-Distribution (OOD) data to calibrate deep neural networks has been accepted to the UDL workshop! |