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Obtaining informed consent in user studies.
  • Dr. Ingrid Falk-Weller
  • May 23, 2026
  • (0)
  • Research Practice

Participants Must Understand What They Are Agreeing to

I remember sitting in a windowless lab during my first year as a research engineer, watching a junior designer hand a participant a twelve-page legal document and ask them to sign it before the session even began. We called it…

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Technical debt as a decision vs rot.
  • Dr. Ingrid Falk-Weller
  • May 22, 2026
  • (0)
  • Software Engineering

Debt Taken Knowingly Is Strategy, Taken Blindly Is Rot

I remember sitting in a windowless server room five years ago, listening to the rhythmic, mechanical click of a cooling fan that sounded suspiciously like a death rattle. We were staring at a codebase that had become a labyrinth of…

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Using memory mapped files for file reading.
  • Dr. Ingrid Falk-Weller
  • May 21, 2026
  • (0)
  • Systems

Reading a File by Pretending It Is Memory

I remember sitting in a windowless server room during my first industry research role, staring at a profiler that showed our data ingestion pipeline was spending half its life just copying bytes from kernel space to user space. It was…

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Graph of various sorting algorithms compared.
  • Dr. Ingrid Falk-Weller
  • May 21, 2026
  • (0)
  • Algorithms

Quicksort Is Fastest Until the Input Is Already Sorted

I spent three years in academia watching brilliant PhD students derive complex proofs for optimal sorting, only to watch them build production systems that choked because they ignored cache locality. It’s infuriating. We treat these comparisons like they are settled…

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k nearest neighbours prediction error visualization
  • Dr. Ingrid Falk-Weller
  • May 20, 2026
  • (0)
  • Machine Learning

No Training at All, and a Very Expensive Prediction

I spent most of my PhD watching brilliant researchers build incredibly complex, multi-layered neural networks to solve problems that could have been handled by a simple distance metric. There is this pervasive, almost academic vanity that suggests if an algorithm…

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Visualizing kernel methods intuition in high-dimensional space.
  • Dr. Ingrid Falk-Weller
  • May 16, 2026
  • (0)
  • Machine Learning

Comparing Points in a Space You Never Actually Build

I spent three months in a PhD lab trying to wrap my head around the “mathematical elegance” of Hilbert spaces, only to realize that most textbooks treat kernel methods intuition like a sacred, untouchable ritual. They throw high-dimensional geometry at…

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Refactoring safely ensures behavior remains unchanged.
  • Dr. Ingrid Falk-Weller
  • May 14, 2026
  • (0)
  • Software Engineering

Refactoring Means Behaviour Does Not Change, or It Is Not Refactoring

I remember sitting in a windowless server room three years ago, watching a junior engineer attempt to “clean up” a critical path in our distributed consensus module. He had followed a textbook pattern to the letter, yet within twenty minutes,…

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Ethics in computing research: technical feasibility.
  • Dr. Ingrid Falk-Weller
  • May 14, 2026
  • (0)
  • Research Practice

Technical Feasibility Is Not Ethical Permission

I remember sitting in a windowless conference room during my final year of my PhD, listening to a senior researcher drone on about how “ethical frameworks” would naturally emerge from the elegance of our new distributed consensus algorithm. It was…

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Understanding write amplification on SSDs.
  • Dr. Ingrid Falk-Weller
  • May 12, 2026
  • (0)
  • Systems

Writing One Byte Can Rewrite a Megabyte

I remember sitting in a windowless server room during my first industry stint, staring at a telemetry dashboard that made absolutely no sense. We were pushing what we thought was a modest workload, yet the drive endurance metrics were cratering…

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Binary search beyond sorted arrays concept.
  • Dr. Ingrid Falk-Weller
  • May 12, 2026
  • (0)
  • Algorithms

Binary Search Works on Any Question With a Yes No Boundary

I spent three years in academia watching brilliant researchers build incredibly complex, distributed indexing structures just to avoid a problem that could have been solved with a simple decision tree. It’s a recurring frustration of mine: we see these massive,…

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