Mentors
Twenty-four researchers, each giving an hour or two a week alongside their own work. Mentees are paired with someone whose research overlaps what they want to learn.
Computing, AI & security
PhD student · Rensselaer Polytechnic Institute
Works on the mathematical foundations of deep learning — how networks learn representations through gradient-based optimisation, why some learned features generalise, and how adversarial training reshapes hidden layers. The aim is rigorous theory for why deep networks work, when they fail, and how to make them reliable.
PhD student · North Carolina State University
Studies software security, particularly the attack surface created by vulnerable dependencies in the software supply chain. His work measures the costs and benefits of different dependency declaration methods as a way of reducing exposure to n-day attacks.
PhD student · Pennsylvania State University
Works in theoretical computer science, on approximation algorithms, graph theory, linear graph layouts and dynamic algorithms.
Master’s student · Missouri University of Science and Technology
Applies machine learning to systems, focusing on high-performance data transfer across wide-area research networks, with adaptive controllers that replace brittle hand-tuned heuristics with reinforcement learning — tested on research testbeds such as FABRIC and CloudLab.
PhD student · Purdue University
Applies machine learning and natural language processing across finance and civil engineering, including large language models for time-series forecasting and deepfake detection, alongside work on the seismic response of soil and embankments.
Industry researcher · VISIE Ltd.
Builds multi-agent architectures for domains including fintech and bioinformatics, and is exploring quantum machine learning algorithms.
Computation in biology & health
PhD student · University of British Columbia
Works on machine learning for regulatory genomics — predicting how DNA sequence determines gene expression, and what that reveals about the non-coding genome.
PhD student · University of Maryland, Baltimore County
Develops machine learning for biomedical signals on wearable devices, including real-time stress detection from ECG and PPG data as a scalable alternative to clinic-based mental health assessment.
Physics & astronomy
PhD student · University of California, Davis
Integrates solid-state defects — excellent spin qubits — with high-index nanophotonic devices, building hardware for on-chip quantum information processing.
PhD student · Texas A&M University
Works at the intersection of machine learning and cosmology, using simulation-based inference to recover cosmological parameters from Type Ia supernova light curves.
Postdoctoral fellow · Waterloo Centre for Astrophysics
Studies how galaxies form and evolve across cosmic time in different environments, using cosmological hydrodynamic simulations and photometric surveys to analyse large samples of galaxies and clusters — and to ask when, how and why galaxies stop forming stars.
Postdoctoral researcher · Iowa State University
Studies star and planet formation: how turbulence and initial mass function variations shape stellar birth, and how non-ideal magnetohydrodynamic effects govern protoplanetary disc evolution and the growth of planetary embryos.
Materials & nanotechnology
Postdoctoral researcher · Stanford University
Probes the physics of low-dimensional materials to build multifunctional opto-electro-mechanical nanodevices, with the goal of unconventional memory, logic and energy-harvesting devices that cut the energy cost of computation.
PhD student · Stevens Institute of Technology
Fabricates and characterises nanomaterials experimentally, and models them computationally — molecular dynamics, finite element analysis, and machine learning applied to mechanical engineering problems.
PhD student · University of Maryland, College Park
Develops functional nanomaterials and scalable manufacturing for printed and flexible electronics, including metal-free 3D-printable inks from functionalised carbon nanomaterials for RF devices, antennas and sensors. Previously built soft tactile sensors for underwater robotics.
PhD student · The Ohio State University
Studies how nuclear materials behave under irradiation, combining theoretical and computational modelling with hands-on experiment so that simulations can be validated against real observations.
Mechanical, energy & infrastructure
Faculty member · Bangladesh Army University of Engineering & Technology
Works on computational fluid dynamics and heat transfer, including conjugate mixed convection and solar air heaters, alongside density functional theory and bio-inspired aerofoil aerodynamics.
PhD student · Texas State University
Works where bio-inspired materials meet computational mechanics and deep learning, analysing CT scan data of pangolin scales to understand how natural armour achieves damage tolerance, and applying physics-informed neural networks to biomechanical prediction.
PhD student · Federation University Australia
Builds an integrated framework for power system reliability under rising renewable penetration, and for resilience against increasingly frequent natural disasters — aimed at flexible distribution systems and microgrids built around distributed energy resources.
University of Calgary
Uses low-value biomass — specifically aspen fibre — in fused filament fabrication to make wood-PLA biocomposites, working on the chemical treatments that let hydrophilic wood fibre bond with a hydrophobic polymer matrix, and on how much fibre a print can carry before it clogs.
Earth, environment & urban systems
Postdoctoral researcher · Wageningen University & Research
Works on flood risk and water resources management, climate-smart agriculture and food security, using hydrological models, IoT sensing and data-driven tools to study climate stresses and how to adapt to them.
PhD student · Delft University of Technology
Studies how climate change reshapes river systems, using data analysis and hydro-morphological modelling. The insights help river managers plan interventions for flood control, freshwater supply and navigation.
PhD student · McGill University
Studies how built-environment interventions change travel behaviour and well-being.
