Elias Shieh, on a side street

Elias Shieh

Ting-Hong (Elias) Shieh

I design products and write the code for them.

I taught olympiad physics for four years; my students won three IPhO golds and a silver. Then I joined a gas-detection distributor and had four months to learn the field from nothing. In 2026 my team of four was first of 373 Taiwan teams on the Stage 2-1 leaderboard of WorldQuant's IQC, and I started sending fixes to open-source projects: 65 merged so far, 14 of them into NVIDIA NeMo.

Now Master of Computer Science at UIUC, online, part-time. Looking for hard, interesting problems, in product, software or research, where I can both design the thing and build it. I'm based in Taiwan; I can work remotely or relocate with visa sponsorship, and start about a month after an offer. Updated .

Stories

2026A quant competition, and the signals I cut55 of the 60 signals in our final portfolio were mine. I turned down about twenty more, and each one cost somebody money.

In the 2026 WorldQuant IQC, four of us built signals for one portfolio. Fifty-five of the sixty in the final portfolio were mine, and I turned down about twenty more.

We had agreed at the start to split any prize by number of submissions, so every signal I cut took money out of someone's pocket.

On the Stage 2-1 leaderboard, out-of-sample included, we were first of 373 Taiwan teams and 32nd in the world.

2021–25Teaching olympiad physicsFour years, three IPhO golds and a silver, and what I learned about wrong answers.

For four years I taught olympiad physics at 物奧土魠 (IPhO Tutor), run by BeShawn, the three-person company I started. My students went on to win three IPhO golds and one silver.

What I learned there: a student stays calm in front of a problem he has never seen only if he believes it is safe to say something stupid.

I stopped in 2025. AI was changing what a tutor is for, and what I had set out to do was done. I wanted to learn something new, which is what took me to UIUC.

2025–26Four months to learn gas detectionIndustrial gas detection from nothing, then a tool the manufacturer agreed to build part of.

At Everrist I had four months to learn industrial gas detection from nothing: how the sensors work, the certifications, the protocols. Then I had to turn it into something a buyer could decide with, and persuade the manufacturer's R&D team in Korea to adopt a gas-selection tool covering more than 840 substances. They agreed to build part of it.

I left in March 2026 to look for a bigger stage.

2016–24A degree that took seven and a half yearsI paused my EE degree to start a company.

My electrical engineering degree at National Taiwan University took seven and a half years, because I stopped partway to start BeShawn. I'm now doing a Master of Computer Science at UIUC, online, part-time.

The record

2026–Master of Computer ScienceUniversity of Illinois Urbana-Champaign

Online, part-time.

2026Open-source contributorGitHub

65 pull requests merged upstream, 14 of them into NVIDIA NeMo.

2026Quant competition, team of 4WorldQuant IQC, NTU team

1st of 373 Taiwan teams and 32nd globally on the Stage 2-1 leaderboard, out-of-sample included.

2025–26B2B product plannerEverrist International

Product page, ad, catalog and prototypes.

2021–25Founder · lead instructor物奧土魠 IPhO Tutor

Students went on to win three IPhO golds and one silver. Run by BeShawn (畢上), my three-person company.

2021Kaggle competitions, NTU Machine Learning courseKaggle

3rd of 1,170 teams in Speaker Classification.

2016–24B.Sc., Electrical EngineeringNational Taiwan University