Clement Wang
Looking for challenges
PhD Student on Graph Representation Learning @ IP Paris / Mirakl

Hello! I’m Clement Wang, a PhD Student on Graph Representation Learning at Institut Polytechnique de Paris and Mirakl. I’m passionate about the intersection of mathematics and computer science, particularly when strong theoretical foundations meet practical applications. Professionally, I consider myself a hybrid between a researcher and an engineer.

In the past, I worked on many different projects, which is why I do not like to describe myself as a specialist of a topic.

A few facts about myself
  • I was born in France from Asian parents, have lived in the US and Germany for 6 months each.
  • Even though I’m not particularly good at it, I love sports: volleyball, bouldering, spikeball, running, biking…
  • One day, I was playing basketball to cool down after an exam when I slipped on a clementine and broke my ankle. I then walked with crutches for 2 months.
Research & Publications

Coming soon - I’ll be sharing my research findings and publications here as they become available.

Speaking & Presentations

I’ll be adding my speaking engagements and presentations here as I participate in conferences and events.

Recent posts

Delivery Date Estimation Model at Mirakl

Delivery Date Estimation Model at Mirakl

Building a Time Series Forecasting Model for Marketplace Orders

Mirakl is a French unicorn and global leader in enterprise marketplace solutions. Its technology enables leading retailers, manufacturers, and B2B companies to launch and scale online marketplaces ...

Training a Foundation Model for EEG Time Series at Beacon Biosignals

Training a Foundation Model for EEG Time Series at Beacon Biosignals

Reaching over 80% Sleep Staging Accuracy with 5% of the annotated data

Project Overview This work was conducted during my Master’s thesis internship at Beacon Biosignals, an American company developing healthcare solutions for analyzing sleep brain activity. My resea...

Nash Equilibrium Finding at Google DeepMind

Nash Equilibrium Finding at Google DeepMind

Accelerating FoReL Convergence with Population-Based Methods

Project Overview During my final year at CentraleSupélec, I had the opportunity to collaborate with Google DeepMind on a research project (Oct 2023 – Apr 2024) focused on improving the convergence...

Aspect-Based Sentiment Analysis

Aspect-Based Sentiment Analysis

Understanding Sentiment with Respect to Specific Aspects

Project Overview As part of the NLP course at Naver Labs Europe, we tackled aspect-based sentiment analysis. The task is to classify a sentence’s sentiment (positive / negative / neutral) with res...

Graph Neural Network Benchmark on Twitch Dataset

Graph Neural Network Benchmark on Twitch Dataset

Benchmarking Different GNNs on Multiple Classification and Regression Tasks

Project Overview This project was carried out as part of the Machine Learning on Network Science course taught by Fragkiskos Malliaros. Our goal was to benchmark several Graph Neural Network (GNN)...

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