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Biography

About

Research Fellow in the Research School of Physics at the Australian National University.

01Biography

From ion tracks to single molecules

Portrait of Shankar Dutt
Shankar Dutt, Research School of Physics.

I am a physicist working on single-molecule sensing. I build solid-state nanopores, measure the ionic current through them as proteins, DNA and RNA pass, and develop the software and machine-learning methods that interpret the signals.

I studied physics at Guru Nanak Dev University in Amritsar, graduating first in both the B.Sc. and M.Sc. (Honours) programmes, and came to ANU in 2018 for a PhD on functional solid-state nanopore membranes. That work combined ion-track technology, thin-film deposition and small-angle X-ray scattering at the Australian Synchrotron to understand how pores form and what shape they take.

Since December 2023 I have been a Research Fellow at ANU (promoted from Level A to Level B), leading the group's nanopore biosensor work. Results include label-free identification of similarly sized proteins, the first solid-state nanopore study of RNA conformational dynamics, and ultra-thin membranes that last for millions of events. I co-manage three laboratories, supervise PhD, Honours and undergraduate students, and am academic in charge of first-year physics laboratories.

Full curriculum vitae (PDF)

02Positions and education

Career

Part-time research positions overlapped the final years of the PhD, which was completed in October 2024.

Positions

  1. Dec 2023 – present

    Research Fellow

    Research School of Physics, Australian National University

    Appointed at Level A, promoted to Level B. Leads nanopore biosensor development, co-manages three laboratories and supervises research students.

  2. Nov 2022 – Nov 2023

    Research Officer (0.4 FTE)

    Research School of Physics, Australian National University

    Part-time during the PhD: technology transfer of silicon-based membranes.

Education

  1. Sep 2018 – Oct 2024

    PhD in Physics

    Australian National University

    Thesis: Development and investigation of functional solid-state nanopore membranes.

  2. 2016 – 2018

    M.Sc. Physics (Honours)

    Guru Nanak Dev University, Amritsar

    University Gold Medallist (rank 1), GPA 9.75/10.

  3. 2013 – 2016

    B.Sc. Physics (Honours)

    Guru Nanak Dev University, Amritsar

    University Gold Medallist (rank 1), GPA 9.92/10.

03Record in numbers

Every figure, with its source

Each number states what it counts, where it comes from and when it was last checked.

Journal articles
22
Peer-reviewed journal articles, counted from the curated publication list on this site.
Publication list · as of Jul 2026
In top-10% journals
38.1%
Share of articles in journals in the top 10% by CiteScore percentile.
CV (Nov 2025), Scopus CiteScore · as of Nov 2025
Citations
321
Total citations to all publications.
Google Scholar · as of Feb 2026
h-index
11
Google Scholar h-index.
Google Scholar · as of Feb 2026
Protein identification
88.7%
Highest F-value (specificity 96.4%) for label-free identification of similarly sized proteins from single-molecule nanopore events classified by machine learning.
Dutt et al., Small Methods 7 (2023) 2300676 · as of Nov 2023
Protein translocations, one pore
1.8 million
Protein translocations recorded through a single pore in an ultra-thin silicon nitride membrane (effective thickness about 3 nm), alongside more than 500,000 DNA translocations.
Dutt et al., Analytical Chemistry 95 (2023) 5754–5763 · as of Nov 2025 · awaiting confirmation
DNA translocations, one pore
500,000+
DNA translocations through a single pore in the same membranes.
Dutt et al., Analytical Chemistry 95 (2023) 5754–5763 · as of Nov 2025
Event-extraction speed-up
up to 1120×
Speed-up of a parallel, multi-core nanopore event-extraction framework over existing tools, under the benchmark conditions reported in the paper.
Bandara, Dutt et al., Small Methods 8 (2024) 2400045 · as of Dec 2024
Patent applications
2
Applications filed in 2021 on methods of fabricating nanopores (international phase: USA, Europe, China, Japan, Australia) and membranes (PCT phase).
CV (Nov 2025) · as of Nov 2025
Students supervised
24
5 PhD (primary or associate), 3 Honours and 16 undergraduate or masters research students.
CV (Nov 2025) · as of Nov 2025
Cash funding (AUD)
500k+
Competitive cash grants on which I am a named investigator, in any role (lead, co-investigator or collaborating entrepreneur), 2019–2025.
CV (Nov 2025); itemised on the Recognition page · as of Nov 2025
In-kind support (AUD)
1M+
Mostly the assessed value of 13 Australian Synchrotron SAXS beamtime awards (2018–2025) as co- or lead proposer, plus GPU hardware and cloud-computing credits.
CV (Nov 2025); ANSTO award letters · as of Nov 2025
News stories
100+
News stories on the 2023 protein-identification study, including ABC and 2GB radio and outlets in the US, UK and China.
ANU media report, cited in CV (Nov 2025) · as of Nov 2025

04Partners and collaborators

Who the work is done with

Grouped by the kind of relationship, so that a research collaboration is not confused with access to a facility or a compute grant.

Industry partner03

  • Thaum Pty Ltd

    Nanopore sensing and machine learning for Alzheimer's biomarker detection.

    AEA Ignite grant awarded (2025)

  • Rio Tinto

    Heavy-metal ion sensing with solid-state nanopores.

    Proposal submitted, AEA Ignite round 2

  • New Frontier Technologies

    Thin coatings protecting carbon composites from radiation and atomic oxygen in space.

Government partner01

  • ACT Office of Water, Icon Water and ACT Health

    Metal release into water after bushfires and floods.

    Proposal submitted, Disaster Ready Fund round 3

Research collaboration03

  • The Ohio State University

    tRNA biochemistry (Nucleic Acids Research, 2026).

  • GSI Helmholtz Centre, Darmstadt

    Swift heavy-ion irradiation and ion-track technology.

  • John Curtin School of Medical Research (ANU)

    Biomedical applications of nanopore sensing.

Facility access01

  • Australian Synchrotron (ANSTO)

    Small-angle X-ray scattering beamtime, 13 successful proposals (2018–2025).

Compute support02

  • NVIDIA

    GPU hardware grant for machine-learning model development (2022).

  • Google

    Cloud research credits for data-analysis pipelines (2022).

05Media coverage

In the press

100+ news stories on the 2023 protein-identification study, including ABC and 2GB radio and outlets in the US, UK and China. Selected articles:

Awards, grants and invited talks