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preprints

2026 bioRxiv

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

L. Li, A. Alaa, Y. Tan, I. Demirel, S. Friedman, Q. Zha, R. Tracy, K. D. Taylor, B. Yu, C. M. Ballantyne, R. Deo, R. Dubin, M. Y. Tsai, G. M. Peloso, J. Brody, T. Austin, B. M. Psaty, J. Nicholas, L. M. Raffield, U. Tahir, J. Coresh, W. Hornsby, A. Chan, S. S. Rich, J. I. Rotter, P. Ganz, R. Gerszten, A. Philippakis, P. Natarajan, Z. Yu

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

conference

2026 NeurIPS

LLMs can construct powerful representations and streamline sample-efficient supervised learning

I. Demirel, L. Shi, Z. Hussain, D. Sontag

LLMs can construct powerful representations and streamline sample-efficient supervised learning
2026 ICML

Uncovering Bias Mechanisms in Observational Studies

I. Demirel*, Z. Hussain*, P.D. Bartolomeis, D. Sontag — *equal contribution

Uncovering Bias Mechanisms in Observational Studies
2025 NeurIPS

Prediction-powered Causal Inferences

R. Cadei, I. Demirel*, P.D. Bartolomeis*, L. Lindorfer, S. Cremer, C. Schmid, F. Locatello — *equal contribution

Prediction-powered Causal Inferences
2025 NeurIPS, Time Series for Health

Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition

I. Demirel, K. Thakkar, B. Elizalde, M. Espi Marques, A. Sarathy, Y. Bai, U. Srinivas, J. Xu, S. Ren, J. Narain — Work done during a summer internship at Apple.

Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition
2025 ICLR

Scalable Universal T-cell receptor embeddings from Adaptive Immune Repertoires

P. Chapfuwa, I. Demirel, L. Pisani, J. Zazo, E. Portugaly, J. Zahid, J. Greissl — Work done during a summer internship at Microsoft Research.

Scalable Universal T-cell receptor embeddings from Adaptive Immune Repertoires
2024 ICML

Prediction-powered Generalization of Causal Inferences

I. Demirel, A. Alaa, A. Philippakis, D. Sontag

Prediction-powered Generalization of Causal Inferences
2024 AISTATS

Benchmarking Observational Studies with Experimental Data under Right-Censoring

I. Demirel, E.D. Brouwer, Z. Hussain, M. Oberst, A. Philippakis, D. Sontag

Benchmarking Observational Studies with Experimental Data under Right-Censoring
2023 AHA Scientific Sessions, Circulation

Association of Eicosanoid Metabolites With Cardiac Structure and Function

A. Roshandelpoor, J. Ma, I. Demirel, E. Lau, M. Alotaibi, M.F. Ramirez Fernandez Del Castillo, J. Parekh, A. Pan, N. Owunna, V. Varadarajan, M. Jain, S. Cheng, J.A.C.A. Lima, J.E. Ho

Association of Eicosanoid Metabolites With Cardiac Structure and Function
2023 AISTATS

Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions

Z. Hussain*, M.C. Shih*, M. Oberst, I. Demirel, D. Sontag — *equal contribution

Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
2022 NeurIPS

ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine

I. Demirel, A.A. Celik, C. Tekin

ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine
2021 AISTATS

Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms

I. Demirel, C. Tekin

Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms
2019 IEEE PIMRC

Accuracy limits of distance estimation in visible light systems with RGB LEDs

I. Demirel, S. Gezici

Accuracy limits of distance estimation in visible light systems with RGB LEDs

journal

2025 IEEE Transactions on Artificial Intelligence

Federated Multi-Armed Bandits Under Byzantine Attacks

A. Saday, I. Demirel, Y. Yildirim, C. Tekin

Federated Multi-Armed Bandits Under Byzantine Attacks
2022 Digital Signal Processing, Elsevier

Distance and Position Estimation in Visible Light Systems with RGB LEDs

I. Demirel, S. Gezici

Distance and Position Estimation in Visible Light Systems with RGB LEDs