A
Andrew Shen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
PhD Student
grad_student
7 h-index
24 pubs
189 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Andrew Shen's research focuses on the neurobehavioral and neurochemical effects of environmental exposures, particularly in the context of aging. His work investigates the implications of substances like methylmercury and arsenite on developing and aging organisms. Shen also explores the application of artificial intelligence in analyzing molecular datasets and in developing safe reinforcement learning models. His publications include studies on the generalizability of AI models, quantitative proteome responses of bacterial biofilms to antibiotics, and neurobehavioral effects of perinatal chemical exposures in animal models. Shen has a scholarly h-index of 7, with 25 total publications and 179 citations. He collaborates with researchers at the National Center for Toxicological Research, including Héctor Rosas-Hernández and Katelin S. Matazel.
Metrics
- h-index: 7
- Publications: 24
- Citations: 189
Selected Publications
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Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model (2026)
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Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model (2026)
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Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model (2026)
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Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model (2026)
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Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model (2026)
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Concentration-Dependent Global Quantitative Proteome Response of Staphylococcus epidermidis RP62A Biofilms to Subinhibitory Tigecycline (2022)
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Neurobehavioral and neurochemical effects of perinatal arsenite exposure in Sprague-Dawley rats (2021)
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Methylmercury exposure and its implications for aging (2021)
Collaboration Network
Top Collaborators
Héctor Rosas-Hernández
National Center for Toxicological Research
4 shared publications
In database
- Neurobehavioral and neurochemical effects of perinatal arsenite exposure in Sprague-Dawley rats
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
Osbert Bastani
3 shared publications
- Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
- Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
- Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
Yasha Ektefaie
Broad Institute (US)
3 shared publications
- Evaluating generalizability of artificial intelligence models for molecular datasets
- Evaluating generalizability of artificial intelligence models for molecular datasets
- Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Marinka Žitnik
Harvard University (US)
3 shared publications
- Evaluating generalizability of artificial intelligence models for molecular datasets
- Evaluating generalizability of artificial intelligence models for molecular datasets
- Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Maha Farhat
Harvard University (US)
3 shared publications
- Evaluating generalizability of artificial intelligence models for molecular datasets
- Evaluating generalizability of artificial intelligence models for molecular datasets
- Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Katelin S. Matazel
National Center for Toxicological Research
3 shared publications
In database
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
W. Drew Gill
National Center for Toxicological Research
3 shared publications
In database
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
Lorna Ewart
Emulate (United States) (US)
3 shared publications
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
Randy S. Daughters
Emulate (United States) (US)
3 shared publications
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Additional file 1 of Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
- Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model
Yecheng Jason Ma
2 shared publications
- Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
- Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
Dinesh Jayaraman
2 shared publications
- Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
- Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
Daria Bykova
Columbia University (US)
2 shared publications
- Evaluating generalizability of artificial intelligence models for molecular datasets
- Evaluating generalizability of artificial intelligence models for molecular datasets
Maximillian G. Marin
Harvard University (US)
2 shared publications
- Evaluating generalizability of artificial intelligence models for molecular datasets
- Evaluating generalizability of artificial intelligence models for molecular datasets
M. Christopher Newland
Auburn University (US)
1 shared publication
- Methylmercury exposure and its implications for aging
Timothy J. Flanigan
National Center for Toxicological Research
1 shared publication
In database
- Neurobehavioral and neurochemical effects of perinatal arsenite exposure in Sprague-Dawley rats
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