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I work on AI-integrated solid-state nanopore biosensing for single-molecule diagnostics, from protein identification to disease-relevant RNA conformational dynamics.
Papers, awards, funding, patents, and software track one research program moving from nanopore fundamentals toward AI-enabled biomarker detection.
A compact readout of published work, training, and translation, from solid-state nanopore biosensing toward AI-integrated single-molecule diagnostics.
A nanofabrication, ionic-current sensing, and machine-learning program that identifies proteins and resolves biomolecular conformational change in real time.
I develop AI-integrated solid-state nanopore biosensors for label-free single-molecule diagnostics. My work connects nanofabrication, high-bandwidth ionic-current sensing, and machine learning to identify proteins and resolve biomolecular conformational changes in real time.
Recent contributions include 88.7% F-value protein identification by fusing nanopore sensing with machine learning (Small Methods, 2023) and the first solid-state nanopore study of disease-relevant tRNA conformational dynamics (Nucleic Acids Research, 2026).
The program is increasingly translational: I have secured more than AUD $500K in competitive cash funding, filed three patent applications, built the NanoSense analysis package, and work with partners including Thaum Pty Ltd, ACT Health, Icon Water, and the Australian Synchrotron.
75th Lindau Nobel Laureate Meeting, 2026
AI Academic/Researcher of the Year, 2025
Nanopores, membranes, and functionalised nanoporous membranes
Research Fellow (Level B)
Australian National University
Solid-State Nanopore Membranes
ANU, 2018-2024
Canberra, Australia
Research School of Physics
Interested in research partnerships or student supervision opportunities.
Get in touchSolid-state nanopores read DNA, RNA, and proteins one molecule at a time, then machine learning turns those ionic-current signatures into point-of-care diagnostics.
Machine learning reads the ionic-current trace of one molecule at a time, reaching 88.7% F-value protein identification by fusing solid-state nanopore sensing with deep learning.
Neural networks trained on nanopore signals to recognise single-molecule fingerprints
Protein identification from single molecules by fusing nanopore sensing with machine learning
GPU-accelerated processing of high-bandwidth ionic-current traces for fast readout
Classifiers that turn translocation statistics into biomarker-level insight
High-bandwidth nanopore signals
Amplitude, dwell time, and shape features
Deep learning resolves the molecule
Biomarker-level clinical readout
Five papers that trace the thread from solid-state nanopore sensing and single-molecule readout to AI-driven analysis and materials science.
S. Dutt, H. Shao, B.I. Karawdeniya, Y.M. Bandara, E. Daskalaki, H. Suominen, P. Kluth
Small Methods 7, 11:2300676 (2023)
S. Dutt, L.B. Lai, R. Mehta, B.I. Karawdeniya, Y.M.N.D.Y. Bandara, A.J. Clulow, S. Glatt, V. Gopalan, P. Kluth
Nucleic Acids Research 54, no. 2 (2026): gkaf1411 (2026)
S. Dutt, B.I. Karawdeniya, Y.M. Bandara, N. Afrin, P. Kluth
Analytical Chemistry 95, 13 (2023): 5754-5763 (2023)
Y. M. Bandara, S. Dutt, B. Karawdeniya, J. Saharia, P. Kluth and A. Tricoli
Small Methods 8 (12) 2400045 (2024)
S. Dutt, P. Apel, N. Lizunov, C. Notthoff, Q. Wen, C. Trautmann, P. Mota-Santiago, N. Kirby, P. Kluth
Journal of Membrane Science 638 (2021): 119681 (2021)
From tRNA shape-reading to a 20-year Alzheimer's risk test, the work has been featured across ANU and international science outlets.
ANU Reporter
2026
We can directly detect and measure shapes in real time, and see how they change their shape from one form to another, at scale — something which has been impossible until now.
ANU Physics
2026
We can directly detect and measure shapes in real time — something which has been impossible until now.
ANU Science
2025
If we can make a satellite structure or a rocket body which has the same strength but maybe half the weight, we can save a lot of money and fuel.
ANU Reporter
2023
By employing advanced filtration techniques and harnessing our nanopore platform, combined with our intelligent machine learning algorithms, we may be able to identify even the most elusive proteins.
ANU Physics — Megavolts
2023
If that person can find out their risk level that far in advance, then it gives them plenty of time to start making positive lifestyle changes...
ANU Physics
2021
We're the first to quantify the shape of the nanopores, using small-angle X-ray scattering at the Australian Synchrotron in Melbourne.
From two University Gold Medals in India to leading AI-integrated nanopore biosensor development at the Australian National University, read top to bottom as one rising current.
Research School of Physics
Australian National University
Leading nanopore biosensor development, secured >$500K funding, supervising PhD students
Research School of Physics
Australian National University
Developed AI-integrated nanopore biosensors for early disease detection
Development of functional solid-state nanopore membranes
Australian National University
Thesis: Development and investigation of functional solid-state nanopore membranes
University Gold Medallist (Rank 1)
Guru Nanak Dev University, India
GPA: 9.75/10
University Gold Medallist (Rank 1)
Guru Nanak Dev University, India
GPA: 9.92/10
Solid-state nanopore sensing and AI-integrated diagnostics advanced alongside industry, academic, and government partners across three continents.
Whether you are pursuing a PhD in solid-state nanopore sensing, planning a single-molecule collaboration, or translating a diagnostic toward the clinic, I would be glad to hear from you.
Join the nanopore biosensing group
Collaborate on single-molecule diagnostics
Translational partnerships and licensing
