Zahra Shamsi

According to our database, Zahra Shamsi authored at least 9 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search.

Sarah Martinson, Michael P. Brenner, Martyna Plomecka, Brian P. Williams, Nicholas G. Reich, Zahra Shamsi

CoRR, May, 2026

2025

An AI system to help scientists write expert-level empirical software.

Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, Marc Coram, Hao Cui, Jake Garrison, Renee Johnston, Anton Kast, Cory Y. McLean, Peter C. Norgaard, Zahra Shamsi, David Smalling, James Thompson, Subhashini Venugopalan, Brian P. Williams, Chujun He, Sarah Martinson, Martyna Plomecka, Lai Wei, Yuchen Zhou, Qian-Ze Zhu, Matthew Abraham, Erica Brand, Anna Bulanova, Jeffrey A. Cardille, Chris Co, Scott Ellsworth, Grace Joseph, Malcolm Kane, Ryan Krueger, Johan Kartiwa, Daniel J. Liebling, Jan-Matthis Lueckmann, Paul Raccuglia, Xuefei Wang, Katherine Chou, James Manyika, Yossi Matias, John C. Platt, Lizzie Dorfman, Shibl Mourad, Michael P. Brenner

CoRR, September, 2025

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning.

Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter C. Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean Phing VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael P. Brenner, Viren Jain, Sameera S. Ponda, Subhashini Venugopalan

CoRR, March, 2025

The Cloud-Based Geospatial Benchmark: Challenges and LLM Evaluation.

Jeffrey A. Cardille, Renee Johnston, Simon Ilyushchenko, Johan Kartiwa, Zahra Shamsi, Matthew Abraham, Khashayar Azad, Kainath Ahmed, Emma Bergeron Quick, Nuala Caughie, Noah Jencz, Karen Dyson, Andrea Puzzi Nicolau, Maria Fernanda Lopez-Ornelas, David Saah, Michael P. Brenner, Subhashini Venugopalan, Sameera S Ponda

Proceedings of The TerraBytes {ICML} Workshop: Towards global datasets and models for Earth Observation, 2025

CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning.

Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Christian Norgaard, Nayantara Mudur, Martyna Beata Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

NPSV-deep: a deep learning method for genotyping structural variants in short read genome sequencing data.

Michael D. Linderman, Jacob Wallace, Alderik van der Heyde, Eliza Wieman, Daniel Brey, Yiran Shi, Peter Hansen, Zahra Shamsi, Jeremiah Liu, Bruce D. Gelb, Ali Bashir

Bioinform., 2024

2022

Automated Deep Aberration Detection from Chromosome Karyotype Images.

Zahra Shamsi, Drew Bryant, Jacob Wilson, Xiaoyu Qu, Avinava Dubey, Konik Kothari, Mostafa Dehghani, Mariya Chavarha, Valerii Likhosherstov, Brian Williams, Michael Frumkin, Fred Appelbaum, Krzysztof Choromanski, Ali Bashir, Min Fang

CoRR, 2022

2020

Using a soft computing method for impedance modelling of Li-ion battery current.

Mohammad Jamshidi, Rouzbeh Farhadi, Morteza Jamshidi, Zahra Shamsi, Seyedfoadin Naseh

Int. J. Adv. Intell. Paradigms, 2020

2016

A hybrid selection method on information system development projects.

Shaaban Elahi, Zahra Shamsi, Ali Rajabzadeh Ghatari

Int. J. Bus. Inf. Syst., 2016