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# Lessons from Alex Wiltschko
- URL: https://www.antoinebuteau.com/lessons-from-alex-wiltschko/
- Published: 2026-06-30T17:05:29.000Z
- Updated: 2026-07-18T21:45:46.000Z
- Description: Alex Wiltschko, a neuroscientist, founded Osmo to build the hardware and software for digitizing smell, extending work on an AI model that predicts odor perception from molecular structure toward questions spanning olfaction, graph neural networks, chemistry, and disease detection.
- Author: Antoine Buteau
- Tags: Profile, AI & Machine Learning Profiles

Alex Wiltschko is a neuroscientist and the founder of Osmo, a company building the hardware and software required to digitize the sense of smell. He is known for his previous work at Google Brain, where he led a research team that developed the Principal Odor Map—an AI model that predicts human odor perception directly from a molecule's chemical structure. This collection outlines his insights on the biology of olfaction, the application of graph neural networks to chemistry, and the future of scent-based disease detection.

![Visual summary of operating lessons from Alex Wiltschko.](https://www.antoinebuteau.com/content/images/2026/06/lessons-from-alex-wiltschko-profile-infographic.webp)

### Part 1: The Biology of Olfaction

1. **On the brain's exposure:** "That's the only part of the brain that leaves the skull and touches the air. Your brain is physically moving through the skull." — [*Source: Salon*](https://www.salon.com/?ref=antoinebuteau.com)
2. **On the physical nature of scent:** "There's nerves that go through porous holes and become our sense of smell, and so molecules physically are touching your brain." — [*Source: Salon*](https://www.salon.com/?ref=antoinebuteau.com)
3. **On early fascinations:** "Even as a 12-year-old, he was obsessed with perfumes and the invisible chemical structures that dictate our perception of the world." — [*Source: What's Your Problem?*](https://www.pushkin.fm/podcasts/whats-your-problem?ref=antoinebuteau.com)
4. **On evolutionary importance:** "Smell is an ancient sense, fundamentally wired into our brain's architecture long before language or advanced reasoning evolved." — [*Source: Brave New World*](https://www.bravenewpodcast.com/?ref=antoinebuteau.com)
5. **On olfactory mapping in animals:** "Animals navigate their environments through complex odor gradients, a biological reality that we are only just beginning to model computationally." — [*Source: Theory and Practice*](https://podcasts.apple.com/us/podcast/theory-and-practice/id1535492312?ref=antoinebuteau.com)
6. **On metabolic processes:** "The way we perceive scents is deeply connected to how our bodies metabolize biological compounds across different species." — [*Source: Mind & Matter*](https://mindandmatter.substack.com/)
7. **On the divide in research:** "There is a historical divide between those who study the chemistry of aroma and those who study the neuroscience of olfaction." — [*Source: Mind & Matter*](https://mindandmatter.substack.com/)
8. **On memory and smell:** "Because the olfactory bulb connects directly to the amygdala and hippocampus, scent provides the most immediate biological trigger for memory and emotion." — [*Source: Eye On A.I.*](https://www.eye-on.ai/?ref=antoinebuteau.com)
9. **On the complexity of odors:** "Unlike color, which can be mapped on a simple spectrum of wavelengths, natural odors are high-dimensional mixtures of thousands of different molecules." — [*Source: The Guardian*](https://www.theguardian.com/?ref=antoinebuteau.com)
10. **On sensory processing:** "The biological process of translating a chemical binding event in the nose into a subjective perception like floral or musky remains one of the brain's great computational feats." — [*Source: Brave New World*](https://www.bravenewpodcast.com/?ref=antoinebuteau.com)

### Part 2: The Limits of Current Science

1. **On the lack of textbooks:** "I took callipers and measured the width of the paper that's used to teach vision and hearing... It's maybe 30 pages – a few millimetres – for smell." — [*Source: The Guardian*](https://www.theguardian.com/?ref=antoinebuteau.com)
2. **On scientific neglect:** "They have these beautiful intellectual structures, these cathedrals of knowledge... that explain the visual and auditory world, shaming what we know about olfaction." — [*Source: Quanta Magazine*](https://www.quantamagazine.org/?ref=antoinebuteau.com)
3. **On data collection:** "Cameras and microphones are cheap and pervasive... Collecting data for scent either involves using complex and expensive instruments or slow and arduous training processes." — [*Source: Osmo*](https://www.osmo.ai/?ref=antoinebuteau.com)
4. **On visual bias:** "Human scientific progress has historically favored vision and hearing because they map easily to physics via measurable wavelengths and frequencies." — [*Source: Data Masters*](https://www.tamr.com/data-masters-podcast/?ref=antoinebuteau.com)
5. **On chemical complexity:** "A single molecule's shape, size, and flexibility all interact simultaneously to produce a smell, defying simple linear rules." — [*Source: Science*](https://www.science.org/?ref=antoinebuteau.com)
6. **On the vocabulary gap:** "We lack a robust, standardized language for describing smells, often relying on comparisons like 'smells like a rose' rather than fundamental properties." — [*Source: Quanta Magazine*](https://www.quantamagazine.org/?ref=antoinebuteau.com)
7. **On the limits of sensors:** "Hardware sensors for scent have historically been brittle, expensive, and narrow, failing to capture the broad spectrum of human olfaction." — [*Source: The Neuron*](https://www.theneurondaily.com/?ref=antoinebuteau.com)
8. **On historical stagnation:** "For decades, the perfume and chemical industries relied mostly on trial, error, and human intuition rather than predictive computational models." — [*Source: Glossy*](https://www.glossy.co/?ref=antoinebuteau.com)
9. **On the difficulty of digitization:** "Digitizing smell is considered exponentially harder than digitizing sight or sound because it involves capturing and synthesizing physical matter rather than just capturing energy." — [*Source: Hard Fork*](https://www.nytimes.com/column/hard-fork?ref=antoinebuteau.com)
10. **On data silos:** "Much of the existing data mapping molecules to scents has been locked away in proprietary databases of legacy flavor and fragrance houses." — [*Source: Invest Like the Best*](https://www.joincolossus.com/?ref=antoinebuteau.com)

### Part 3: Graph Neural Networks and Smell

1. **On representing molecules:** "Graph neural networks are the natural architecture for molecular chemistry because they perfectly represent atoms as nodes and chemical bonds as edges." — [*Source: Distill*](https://distill.pub/?ref=antoinebuteau.com)
2. **On machine intuition:** "By passing messages between nodes in a graph, GNNs can learn the implicit rules of chemistry that dictate how a molecule interacts with a human receptor." — [*Source: Google Research*](https://research.google/?ref=antoinebuteau.com)
3. **On superhuman accuracy:** "The GNN models trained at Google Brain were eventually able to predict the odor profile of a molecule more reliably than the average individual human panelist." — [*Source: Science*](https://www.science.org/?ref=antoinebuteau.com)
4. **On model interpretability:** "Understanding attribution in GNNs—knowing exactly which carbon ring or bond triggers a specific prediction—is crucial for designing new molecules safely." — [*Source: Distill*](https://distill.pub/?ref=antoinebuteau.com)
5. **On scaling data:** "Feeding the Leffingwell dataset and other large chemical libraries into GNNs provided the necessary volume to successfully map the latent space of odor." — [*Source: Google Research*](https://research.google/?ref=antoinebuteau.com)
6. **On structure-odor relationships:** "The models proved that the quantitative structure-odor relationship is not random; it has an underlying geometric structure that artificial intelligence can decode." — [*Source: eLife*](https://elifesciences.org/?ref=antoinebuteau.com)
7. **On continuous learning:** "As more molecules are synthesized and tested, the graph networks continually refine their understanding of the boundaries between descriptions like fruity and sulfurous." — [*Source: Science*](https://www.science.org/?ref=antoinebuteau.com)
8. **On algorithmic architecture:** "Message-passing frameworks allow the network to evaluate a molecule not just by its individual parts, but by the holistic shape it takes in three dimensions." — [*Source: Distill*](https://distill.pub/?ref=antoinebuteau.com)
9. **On cross-disciplinary leverage:** "The same GNN techniques used for mapping human olfaction can be adapted for broader tasks in drug discovery and materials science." — [*Source: Theory and Practice*](https://podcasts.apple.com/us/podcast/theory-and-practice/id1535492312?ref=antoinebuteau.com)
10. **On validation:** "The ultimate test of the GNN was generating completely novel molecular structures in software and verifying that human testers agreed with the AI's predicted scent." — [*Source: Science*](https://www.science.org/?ref=antoinebuteau.com)

### Part 4: The Principal Odor Map

1. **On creating a compass:** "The Principal Odor Map places molecules in a high-dimensional space where physical distance correlates precisely with perceptual similarity." — [*Source: Osmo*](https://www.osmo.ai/?ref=antoinebuteau.com)
2. **On the RGB of smell:** "The map attempts to find the fundamental coordinates of olfaction, akin to how RGB values define the entire space of visible light." — [*Source: Invest Like the Best*](https://www.joincolossus.com/?ref=antoinebuteau.com)
3. **On predicting the unknown:** "The true power of the Principal Odor Map is its ability to take a molecule that has never been synthesized and accurately predict how it will smell." — [*Source: Science*](https://www.science.org/?ref=antoinebuteau.com)
4. **On biological alignment:** "The structure of the map naturally aligns with evolutionary biology, grouping smells in ways that reflect metabolic pathways found in nature." — [*Source: Quanta Magazine*](https://www.quantamagazine.org/?ref=antoinebuteau.com)
5. **On mapping complexity:** "The model successfully disentangles molecules that look chemically identical but smell wildly different due to chirality or slight structural tweaks." — [*Source: Science*](https://www.science.org/?ref=antoinebuteau.com)
6. **On continuous space:** "Smells do not exist in discrete categories; the map shows that concepts like garlic and onion occupy a continuous region of molecular space." — [*Source: Osmo*](https://www.osmo.ai/?ref=antoinebuteau.com)
7. **On industry adoption:** "The map provides a foundational tool for chemists to navigate the universe of possible scents mathematically rather than relying strictly on trial and error." — [*Source: Glossy*](https://www.glossy.co/?ref=antoinebuteau.com)
8. **On open questions:** "Even with a highly accurate map, the exact biophysics of how receptors inside the human nose trigger these mapped perceptions is still being uncovered." — [*Source: Mind & Matter*](https://mindandmatter.substack.com/)
9. **On its legacy:** "The Principal Odor Map represents the first time human odor perception has been comprehensively quantified and digitized at scale." — [*Source: Google Research*](https://research.google/?ref=antoinebuteau.com)

### Part 5: Digitizing and Teleporting Scent

1. **On teleportation:** "Osmo has demonstrated the ability to teleport a scent by capturing the molecular signature of a fresh plum and reproducing it remotely." — [*Source: The Neuron*](https://www.theneurondaily.com/?ref=antoinebuteau.com)
2. **On the reading-writing loop:** "Digitizing scent requires two distinct technologies: sensors capable of reading the molecules in the air, and printers capable of writing or synthesizing them on demand." — [*Source: Invest Like the Best*](https://www.joincolossus.com/?ref=antoinebuteau.com)
3. **On digital capture:** "A molecular sensor acts as a camera for smell, analyzing the chemical composition of the air in real-time to create a digital fingerprint." — [*Source: Brave New World*](https://www.bravenewpodcast.com/?ref=antoinebuteau.com)
4. **On the molecular printer:** "The output device for digital olfaction isn't a speaker or a screen, but a micro-fluidic system that mixes base chemicals to recreate exact odors." — [*Source: The Neuron*](https://www.theneurondaily.com/?ref=antoinebuteau.com)
5. **On consumer hardware:** "The long-term vision involves shrinking molecular sensors down to the size of a microchip so they can be integrated into smartphones and wearables." — [*Source: Hard Fork*](https://www.nytimes.com/column/hard-fork?ref=antoinebuteau.com)
6. **On archiving smells:** "Digitization allows us to permanently archive the scent of endangered flowers, historical artifacts, and changing environments before they disappear." — [*Source: Invest Like the Best*](https://www.joincolossus.com/?ref=antoinebuteau.com)
7. **On data transmission:** "Once a smell is converted into coordinates on the Principal Odor Map, it becomes a lightweight data file that can be sent via email or text message." — [*Source: Axios*](https://www.axios.com/?ref=antoinebuteau.com)
8. **On environmental context:** "Teleporting a scent perfectly requires capturing not just the primary odorant, but the ambient background molecules that contextualize the experience." — [*Source: Brave New World*](https://www.bravenewpodcast.com/?ref=antoinebuteau.com)
9. **On the ultimate goal:** "The objective is to make sending a scent over the internet as mundane and reliable as sending a digital photograph." — [*Source: Osmo*](https://www.osmo.ai/?ref=antoinebuteau.com)

### Part 6: Transforming the Fragrance Industry

1. **On expanding the palette:** "There've only been about 100,000 fragrances ever made. I want there to be millions." — [*Source: Reddit*](https://www.reddit.com/?ref=antoinebuteau.com)
2. **On AI augmentation:** "We see AI augmenting the role of synthetic chemists and master perfumers, rather than replacing the human art of scent creation." — [*Source: Cosmetics Business*](https://www.cosmeticsbusiness.com/?ref=antoinebuteau.com)
3. **On democratizing creation:** "Through AI-driven initiatives, independent brands can now create custom fragrances without the massive minimum chemical volume orders demanded by legacy houses." — [*Source: Glossy*](https://www.glossy.co/?ref=antoinebuteau.com)
4. **On sustainability:** "Digital olfaction allows chemists to discover sustainable, lab-grown alternatives to rare, endangered, or environmentally damaging natural scent ingredients." — [*Source: Perfumer & Flavorist*](https://www.perfumerflavorist.com/?ref=antoinebuteau.com)
5. **On safe chemistry:** "AI models can filter out molecules that are toxic, allergenic, or harmful to the ozone layer before a chemist ever attempts to synthesize them." — [*Source: Osmo*](https://www.osmo.ai/?ref=antoinebuteau.com)
6. **On speed to market:** "By predicting how a molecule will smell before it is made, artificial intelligence dramatically accelerates the research and development cycle for new consumer goods." — [*Source: Invest Like the Best*](https://www.joincolossus.com/?ref=antoinebuteau.com)
7. **On proprietary ingredients:** "Osmo has successfully developed entirely new scent molecules that did not previously exist in nature, opening new categories of fragrance." — [*Source: TrendHunter*](https://www.trendhunter.com/?ref=antoinebuteau.com)
8. **On subjective art:** "Even with perfect chemical prediction, the composition of a successful perfume still requires the subjective, emotional intuition of a human perfumer." — [*Source: Brave New World*](https://www.bravenewpodcast.com/?ref=antoinebuteau.com)
9. **On market disruption:** "AI is breaking the oligopoly of the traditional fragrance industry by bringing technological transparency to a historically secretive trade." — [*Source: Independent Beauty*](https://independentbeauty.org/?ref=antoinebuteau.com)

### Part 7: AI in Molecular Chemistry

1. **On the drug discovery parallel:** "We see AI in drug discovery as a precedent for ways that AI will revolutionize olfaction." — [*Source: Cosmetics Business*](https://www.cosmeticsbusiness.com/?ref=antoinebuteau.com)
2. **On traversing chemical space:** "The universe of possible molecules is larger than the number of atoms in the solar system; AI is the only tool capable of navigating it effectively." — [*Source: Theory and Practice*](https://podcasts.apple.com/us/podcast/theory-and-practice/id1535492312?ref=antoinebuteau.com)
3. **On generative design:** "Machine learning models can now work backwards, taking a desired scent profile and generating the exact molecular structure needed to produce it." — [*Source: Science*](https://www.science.org/?ref=antoinebuteau.com)
4. **On synthesis constraints:** "It is not enough to design a novel molecule in software; the AI must also ensure that the molecule can actually be synthesized physically in a lab." — [*Source: Osmo*](https://www.osmo.ai/?ref=antoinebuteau.com)
5. **On edge cases:** "Neural networks excel at identifying the exceptions to traditional chemical rules, finding rare molecules that smell completely different than their structural neighbors." — [*Source: Quanta Magazine*](https://www.quantamagazine.org/?ref=antoinebuteau.com)
6. **On computational efficiency:** "Evaluating a million compounds via a graph neural network takes a fraction of a second, replacing years of manual bench chemistry." — [*Source: Google Research*](https://research.google/?ref=antoinebuteau.com)
7. **On data feedback loops:** "Every physical molecule synthesized is tested and fed back into the model, creating a compounding advantage in predictive accuracy over time." — [*Source: Invest Like the Best*](https://www.joincolossus.com/?ref=antoinebuteau.com)
8. **On bridging disciplines:** "The most significant breakthroughs in digital olfaction occur when deep learning engineers sit in the same room as wet-lab synthetic chemists." — [*Source: Data Masters*](https://www.tamr.com/data-masters-podcast/?ref=antoinebuteau.com)
9. **On fundamental physics:** "Ultimately, predicting a smell requires the AI to implicitly learn the quantum and thermodynamic properties that govern molecular binding." — [*Source: Distill*](https://distill.pub/?ref=antoinebuteau.com)

### Part 8: The Future of Health and Disease Detection

1. **On diagnostic potential:** "The long-term moonshot for digital olfaction is developing hardware sensors capable of detecting diseases through microscopic changes in human body odor." — [*Source: The Neuron*](https://www.theneurondaily.com/?ref=antoinebuteau.com)
2. **On biological smell as a benchmark:** "Reference: Google Cloud's Osmo profile says noses can detect Parkinson's earlier than any diagnostic and that dogs, bees, and other animals can sniff conditions including Alzheimer's, COVID-19, and cancer, framing Osmo's work as building an AI map for smell." — [*Reference: Google Cloud on Osmo and AI for aromas*](https://cloud.google.com/blog/products/ai-machine-learning/how-osmo-is-bringing-ai-to-aromas?ref=antoinebuteau.com)
3. **On non-invasive testing:** "A breathalyzer or skin-swab that uses AI to detect disease signatures would transform diagnostics by making clinical testing entirely non-invasive." — [*Source: Tamr*](https://www.tamr.com/?ref=antoinebuteau.com)
4. **On biological markers:** "Diseases alter human metabolism, which in turn alters the specific volatile organic compounds we emit into the air." — [*Source: Mind & Matter*](https://mindandmatter.substack.com/)
5. **On continuous monitoring:** "If molecular sensors become small and cheap enough, they could be embedded in our homes to monitor health changes continuously over time." — [*Source: Invest Like the Best*](https://www.joincolossus.com/?ref=antoinebuteau.com)
6. **On early intervention:** "Scent signatures often change long before clinical symptoms appear, offering a vital window for much earlier therapeutic intervention." — [*Source: Brave New World*](https://www.bravenewpodcast.com/?ref=antoinebuteau.com)
7. **On signal extraction:** "The primary challenge in disease detection is using AI to separate the faint signal of a disease biomarker from the noisy background of everyday environmental smells." — [*Source: Theory and Practice*](https://podcasts.apple.com/us/podcast/theory-and-practice/id1535492312?ref=antoinebuteau.com)
8. **On global health:** "Cheap, deployable scent sensors could provide rapid screening for infectious diseases like tuberculosis in regions without robust clinical infrastructure." — [*Source: Axios*](https://www.axios.com/?ref=antoinebuteau.com)
9. **On the ultimate vision:** "Digitizing smell is not just about making better perfumes; it is about building a new sensory layer for computers to understand and protect human health." — [*Source: Osmo*](https://www.osmo.ai/?ref=antoinebuteau.com)