About Me

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Hi, I'm Inga, a Rosetrees PhD Plus scholar, and BiTS (Big If True, Renaissance Philanthropies) fellow, currently completing my PhD in Bioengineering at the University of Oxford.

I am fascinated by the overlap of digital and tangible aspects of the nanoscale: a world in which quantum effects dominate what we see and how matter interacts. Questions I wonder about include: What resultant behaviours would emerge if physics-informed neural nets (PINNs) were integrated with virtual cells? How long till we will be able to create a world model of a cell, or tissue? If proteins fold in nanoseconds, do they already compute faster than GPUs?

Over the past few years I have explored the use of nucleic acid reaction networks for diagnostic and therapeutic applications alike. As part of the Stevens Group, my work is highly translational: this has resulted in one of my projects being licensed to a startup. I have also learnt to outsource my pipetting to an I.DOT (automated pressure dispensing robot).

Previously, I completed a MEng in Materials Science and Engineering at Imperial College London. Here I discovered through the lens of Nanomaterials, Density Functional Theorem & Molecular Dynamics simulations, and Optoelectronics what it's like to be an artist at the nanoscale.

Blog Posts

I write about insights that can only be gleaned from deep, fundamental understanding.

Content goes beyond what can be ChatGPT'd: it is content that emerges at the intersection of ideas - the thoughts authors of scientific journals express between the lines. What can you expect? 1. Passion for science. Put eloquently, the sharing of a symphony of molecules oscillating at rhythmic frequency, the crystallisation of a complex diffraction pattern; the solving of a structure through 'reasoning' driven by matrices crunching numbers on etched silicon substrates. 2. Infequent posting. Everything I write about is because it caught my eye. Curiosity is at the centre of all writings. 3. Deep technical reads.

I write under the pen name Dispersion Limits, and am also a core contributor to Decoding Science.

Decoding Science 008: Recreating Neuronal Patterns, Finding Hidden Gems with LLMs, and Predicting Enzyme Specificity with GNNs
Understanding the brain requires being able to visualise neuronal firing processes and simultaneously link these to actions, in real time. Whilst mice remain the key model of choice for neuroscience, larval zebrafish offer the unique advantage of being transparent. A see-through body: engineered for cells to fluoresce upon influx of calcium ions, and acting as a blueprint of firing patterns of the brain.
DecodingScience008
Nov. 2025 Read post →
Decoding Science 004: DeepMind and LIGO's Deep Loop Shaping, OpenAI for Science, Grant Decisions by Algorithm, Translating Molecular Microscopy into Structure
How close are generative models getting to simulating data that is representative of physical results?
DecodingScience004
Sep. 2025 Read post →
The Omics Revolution: Exploration of a cell and its environment through a spatial transcriptomics lens.
Part I (of a 3-part series): Technology.
STpartI
Oct. 2024 Read post →
(Continued) The Omics Revolution: Why can't we just sequence everything?
Part II: Translation.
STpartII
Nov. 2024 Read post →
(Act III) The Omics Revolution: Trends in and beyond Spatial Transcriptomics.
Part III: The Future.
STpartIII
Nov. 2024 Read post →

Publications

Always more publications coming soon. Those listed [in process] are in final writing stages or cannot be disclosed due to licensing reasons.

Awards, Fellowships & Affiliations

Curriculum Vitae


For academic queries please email: inga [dot] vandenbossche [at] exeter [dot] ox [dot] ac [dot] uk