Idan Lau.

Machine Learning Engineer

01.

About Me

I'm a machine learning enthusiast with a strong interest in power markets and robotics. My industry experience focuses on quantitative research in the power markets, while my academic research explores computer vision and deep learning for autonomous robotics.

Personal Info

Email: lauidan31@gmail.com
University: New York University
Degree: BS in Computer Science, Minor in Mathematics

02.

Work Experience

Machine Learning Engineer

Comity

Power Markets Trading, Series A

Machine Learning Researcher

AI4CE Lab, NYU

Robotics Research Lab

Data Engineering Intern

Midas Analytics AI

Financial news analytics startup, Seed round

03.

Research

IEEE ICRA 2026 — First Author Accepted Jan 2026

Flexible and Efficient Spatio-Temporal Transformer for Sequential Visual Place Recognition

Yu Kiu (Idan) Lau, Chao Chen, Ge Jin, Chen Feng

Visual Place Recognition Transformers Robotics Adapt-STformer

Read on arXiv →

04.

Projects

1st Place — Cloudera Evolve24 Hackathon Oct 2024

LLM Financial Advisor

Built an LLM-powered portfolio advisor using RAG, Pinecone, and Cloudera AI Workbench for investment recommendations
Integrated Perplexity AI for financial news, Alpaca API for simulated trading and Streamlit as the user interface

LLM RAG Pinecone Cloudera AI Perplexity AI Alpaca API Streamlit

Source