Full Professor(heuristic)

Explainable Artificial Intelligence (XAI) · Artificial Intelligence

Compare more Artificial Intelligence professors.

h-index42
i10-index83
Publications173
Citations25,782

Grants

12 total · 4 active

NIH #P30AG013280

Core F EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR AGING

Active
Amount
$300K–$400K
Period
1997-07-15 → 2030-05-31
PIs
1

NIH #R01EB035934

XAI-TRUST: Explainable AI Techniques to Rigorously Understand, Scrutinize, and Trust Clinical AI

Active
Amount
$400K–$500K
Period
2024-04-01 → 2028-03-31
PIs
1

NIH #RF1AG088824

IDEAL-XAI: Advancing Explainable AI to Identify Early Driver Events of Alzheimer's Disease

Active
Amount
$1M–$2M
Period
2024-08-15 → 2027-07-31
PIs
1

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All Grants

12 total · 4 active

NIH #P30AG013280

Core F EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR AGING

Active
Amount
$300K–$400K
Period
1997-07-15 → 2030-05-31
PIs
1

NIH #R01EB035934

XAI-TRUST: Explainable AI Techniques to Rigorously Understand, Scrutinize, and Trust Clinical AI

Active
Amount
$400K–$500K
Period
2024-04-01 → 2028-03-31
PIs
1

NIH #RF1AG088824

IDEAL-XAI: Advancing Explainable AI to Identify Early Driver Events of Alzheimer's Disease

Active
Amount
$1M–$2M
Period
2024-08-15 → 2027-07-31
PIs
1

NIH #R21AG089394

Illuminating early microglial dysfunction in Alzheimer's disease through integration of explainable AI and iPSC models

Active
Amount
$200K–$300K
Period
2024-09-15 → 2027-05-31
PIs
2

NIH #R21AG087874

Mapping the landscape of the aged human brain for neurodegenerative disease models

Amount
$200K–$300K
Period
2024-09-15 → 2026-06-30
PIs
2

NSF #1759487

Collaborative Research: ABI Innovation: Interpretable Machine Learning to Identify Molecular Markers for Complex Phenotypes

Amount
$1M–$2M
Period
2018-06-01 → 2025-05-31
PIs
2

NIH #R01AG061132

Interpretable Machine Learning to Identify Alzheimer's Disease Therapeutic Targets

Amount
$500K–$600K
Period
2019-02-15 → 2023-12-21
PIs
1

NIH #R35GM128638

Opening the Black Box of Machine Learning Models

Amount
$300K–$400K
Period
2018-07-01 → 2023-06-30
PIs
1

NSF #1552309

CAREER: Learning the Chromatin Network from ChIP-Seq Data

Amount
$700K–$800K
Period
2016-07-01 → 2022-06-30
PIs
1

NIH #R21LM012922

Application of Data Sciences in Traumatic Brain Injury

Amount
$200K–$300K
Period
2018-09-12 → 2020-08-31
PIs
3

NSF #1355899

ABI Innovation: A Probabilistic Approach to Meta-Analysis of Biological Network Interface

Amount
$600K–$700K
Period
2014-07-01 → 2018-06-30
PIs
1

NIH #R21AG049196

A machine learning approach to identify Alzheimer's disease therapeutic targets

Amount
$200K–$300K
Period
2015-09-15 → 2017-04-30
PIs
1

Recent Public Signals

  1. New preprint: Dissecting and directing pathology foundation models2026-06-16
  2. New paper: Probabilistic modelling of single-cell bisulfite sequencing data with MethylVI (Nature Machine Intelligence)2026-04-28
  3. New NIH award: Illuminating early microglial dysfunction in Alzheimer's disease through integration of explainable AI and iPSC models2024-09-15

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Data Freshness

  • Publications as of 2026-07-09
  • Grants as of 2026-08-28

Data may not be current

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ORCID: 0000-0001-5833-5215

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