Hena Ghonia

I am a Researcher at Mila (CERC AAI lab) working with Prof. Irina Rish. I am looking for new opportunities related to Machine learning and software engineering. If you are hiring let me know!

I completed my masters in Computer Science from Université de Montréal/Mila. I have worked in areas of Active learning, Uncertainty quantification and time series forecasting. I am interested in the intersection of machine learning and systems and intrigued by how machine learning changes the hardware and software architecture.

Previously, I was Intern at Hydro-Quebec and worked as an Associate Data Scientist at Ecolab. I have a Bachelor of Technology in Information and Communication Technology from Ahmedabad University. Leave your anonymous feedback here! For collaboration and discussion schedule a call!

Email  /  GitHub  /  Google Scholar  /  LinkedIn

profile photo

Workshop and Conference Publication

General-Purpose Brain Foundation models for Time-Series NeuroImaging Data
NeurIPS 2024 TSALM Workshop
MJ Bayazi, Hena Ghonia, Roland Riachi, Bruno Aristimunha, Arian Khorasani, Md Rifat Arefin, Amin Darabi, Guillaume Dumas, Irina Rish

Lag-Llama: Towards Foundation Models for Time Series Forecasting
arXiv:2310.08278v1 [cs.LG] 12 Oct 2023
△Kashif Rasul, △Arjun Ashok, *Andrew Robert Williams, *Hena Ghonia, Rishika Bhagwatkar, Arian Khorasani, Mohammad Javad Darvishi Bayazi, George Adamopoulos, Roland Riachi, Nadhir Hassen, Marin Bilosˇ, Sahil Garg, Anderson Schneider, Nicolas Chapados, Alexandre Drouin, Valentina Zantedeschi, Yuriy Nevmyvaka, Irina Rish
△* : Equal contribution

VQ-TR: Vector Quantized Attention for Time Series Forecasting
ICLR'24 Conference (to be presented)
Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka

Reports

K. Mai, T. Sun, H. Ghonia, S. Ke, C. Yu, and J. Broomfield, A survey of compartmental disease models for predicting the progression of COVID-19, 2020

Presentation

Predicting Diabetes Mellitus in ICU Patients
Author: Hena Ghonia, Shanaya Mehta | Date: 2021-09-19 | Venue: "Pycon India 2021"

Hyperparameter tuning using Dask
Date: 2021-09-19 | Venue: "WIDS mysuru 2020"