Amina Mollaysa

Postdoc, Innovative medicine, Johnson and Johnson

Joined

September 2019

Names

Amina Mollaysa (Preferred)

Emails

****@gmail.com (Confirmed)

****@its.jnj.com (Confirmed)

Personal Links

Homepage

DBLP

ORCID

Career & Education History

Postdoc

Innovative medicine, Johnson and Johnson (its.jnj.com)

2024 – Present

Postdoc

Department of Quantitative Biomedicine, University of Zurich (uzh.ch)

2021 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Alexandros Kalousis

2015 – 2021

Expertise

drug induced liver injury

2025 – Present

protein property prediction

2024 – Present

multi omics

2024 – Present

ML models for crispr

2022 – Present

Generative models

2017 – Present

molecule design

2017 – Present

feature side information

2015 – Present

Publications

GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction
Feng Jiang, Amina Mollaysa, Hehuan Ma, Yuzhi Guo, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao
- ICLR 2026 Poster
- Readers: Everyone
GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction
Feng Jiang, Amina Mollaysa, Hehuan Ma, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao
- NeurIPS 2025 2nd Workshop FM4LS Poster
- Readers: Everyone
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence
Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang
- NeurIPS 2025 spotlight
- Readers: Everyone
Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Enhanced Goal Directed Generation
Arthur-Louis Heath, Amina Mollaysa, Michael Krauthammer
- AccMLBio Poster
- Readers: Everyone
Generating Personalized Insulin Treatments Strategies with Conditional Generative Time Series Models
Manuel Schürch, Xiang Li, Ahmed Allam, Giulia Hofer, Amina Mollaysa, Claudia Cavelti-Weder, Michael Krauthammer
- DGM4H NeurIPS 2023 Poster
- Readers: Everyone
Generative Time Series Models with Interpretable Latent Processes for Complex Disease Trajectories
Cécile Trottet, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
- DGM4H NeurIPS 2023 Spotlight
- Readers: Everyone
SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting
Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Amina Mollaysa, Brooks Paige, Alexandros Kalousis
- 2020 (modified: 24 Apr 2023)
- NeurIPS 2020
- Readers: Everyone
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Amina Mollaysa, Brooks Paige, Alexandros Kalousis
- 2020 (modified: 24 Apr 2023)
- CoRR 2020
- Readers: Everyone
Learning to Augment with Feature Side-information
Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis
- 2019 (modified: 24 Apr 2023)
- ACML 2019
- Readers: Everyone

View all 12 publications

Amina Mollaysa

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors