Kristen Kehrer

Data Scientist & Children's Book Author

[Kristen Kehrer @DataMovesHer]

I actually went through each of the 68 computer vision tutorials in keras to understand the common loss functions that were being used to solve the different problems.

Learned a lot, hope it helps someone :)
https://t.co/gJZ9ySrnRx

[Kristen Kehrer @DataMovesHer]

We're all over here using LLMs to code and feeling like rockstars.. meanwhile, those same models trip over tasks scientists handle routinely.

@joinHandshake tested 10 frontier models on VIALS, a benchmark of 161 interpretation tasks from real lab workflows.

Nothing cleared 27%.

[Jonas Mueller @jomulr]

AI promises to cure disease, but can frontier models interpret the images biotech/pharma scientists handle every day?

To evaluate this, we built the ATLAS Visual Life Sciences (VIALS) benchmark: 161 visual interpretation tasks from professional life sciences workflows including gel blots, plasmid maps, molecular structures, and phylogenies. These are the images/results that experiments actually produce, not polished figures from papers or textbooks.

We benchmarked today’s 10 leading multimodal models. Opus 5, GPT 5.6, and Gemini 3.7 all fail to crack 27% accuracy, and the other models like Kimi K3 & Grok 4.6 perform much worse.

In contrast, PhD-level biomedical scientists find these visual interpretation tasks straightforward. AI that cant interpret such images will have limited utility in life sciences R&D, where such artifacts are central to how scientists reason, communicate, and make research decisions.

We hope VIALS drives progress toward models that can.

[Kirk Borne @KirkDBorne]

In "Susie’s School Bus Solution", young readers will join Susie and her mom as they learn about the fascinating world of artificial intelligence #AI and computer vision.

Get the book for a young person in your life, or for yourself: https://t.co/j3jF7AhN61 by @DataMovesHer

[Saket Saurabh 🚀 @saketsaurabh]

Thrilled to announce Express, a conversational data engineering platform, powered by agents, that makes working with data as simple as describing what you need.

The biggest blocker to AI adoption isn’t the models - it’s the complex, time-consuming process of preparing and integrating data from hundreds of systems.

Express solves that! Describe what you need in natural language. Express figures out where the data lives, connects to it, transforms it, and prepares it for use. No coding required. Production-ready in minutes.

The teams that move fastest with AI will be the ones who can unlock their data fastest.

Now, anyone can, with Express.

Try it today → https://t.co/4E5eq7wKDL

[Kirk Borne @KirkDBorne]

In "Susie’s School Bus Solution", young readers will join Susie and her mom as they learn about the fascinating world of artificial intelligence #AI and computer vision.

Get the book for a young person in your life, or for yourself: https://t.co/j3jF7AikVz by @DataMovesHer

[Kristen Kehrer @DataMovesHer]

@KirkDBorne Amazing! Thanks for tagging me. My next children’s book is actually about time series analysis. Hope you’re doing awesome ❤️

[Kristen Kehrer @DataMovesHer]

People are always asking what it looks like to go end-to-end algo trading with Python. This covers the pipeline and some of the tools. https://t.co/187FYA4yLQ

[Kristen Kehrer @DataMovesHer]

From notebooks to production backtests in algo trading: momentum+value in Python (data→features→MLflow→Prefect→IBKR).
https://t.co/187FYA56Bo
#DataScience #Backtesting #Python

[Santiago @svpino]

One of the most beautiful and unique things of being a software developer:

The more code you write, the more bugs you’ll have to fix in the future.

The more time you spend working, the longer they’ll need you.

Self-generating demand. It’s amazing.

[Quant Science @quantscience_]

How to make a simple algorithmic trading strategy with a 472% return using Python.

A thread. 🧵

[Kristen Kehrer @DataMovesHer]

@svpino Is that even possible? A number of times LLMs have sent me in circles until I dig in myself. It’s still useful and helps me move faster, but other than something really simple, I still find myself on stack overflow or on a repo somewhere.

[Quant Science @quantscience_]

🚨BREAKING: A new Python library for algorithmic trading.

Introducing TensorTrade: An open-source Python framework for trading using Reinforcement Learning (AI)

[Kristen Kehrer @DataMovesHer]

@samuel_wong_ @DS_Jessica_ Love the idea. I think a word other than “arguments” will likely get farther for adoption..

[Kristen Kehrer @DataMovesHer]

Backtesting a trading strategy is one giant experiment.
Yet most traders throw away their experiment history.
I started using MLflow (yes, the ML tool) to track my non-ML backtests, and it’s a game changer for iteration speed + insights.

Here’s how: https://t.co/WsYjqIJ5aE

[Kristen Kehrer @DataMovesHer]

But you’re able to iterate faster than ever before. (Although do lookout for ending up in some never ending loop where you’re getting dumb recommendations and you need to actually dig in yourself, that does happen). But go that last mile, it’s a much more impressive portfolio.

[Kristen Kehrer @DataMovesHer]

When thinking about your portfolio projects, think about actually putting something in production. Pay the couple dollars a month, and you can always cancel later.

[Kristen Kehrer @DataMovesHer]

With the ability to share screenshots with ChatGPT, you’re able to tell the LLM “hey, you told me to find some button I don’t see, here’s a screenshot, where’s that button”, and ChatGPT may say “I made a mistake, there’s no button, do this instead”.

[Kristen Kehrer @DataMovesHer]

@KirkDBorne Thank you so much for sharing!

[Kirk Borne @KirkDBorne]

In "Susie’s School Bus Solution", young readers will join Susie and her mom as they learn about the fascinating world of artificial intelligence #AI and computer vision.

Get the book for a young person in your life, or for yourself: https://t.co/xBWs0sNvDE by @DataMovesHer

[Kristen Kehrer @DataMovesHer]

"Susie's School Bus Solution" just launched!

I had built a computer vision system to detect the school bus and send a text. I finally turned the process of building this into a children's book.

https://t.co/vYlfmB7rsC

#computervision #machinelearning #python #datascience