Mariya Lysenkova Wiklander
mariya.io
Mariya Lysenkova Wiklander
@mariya.io
Software engineer for 20+ years. Finishing a PhD in bioinformatics & applied machine learning at SciLifeLab @ Uppsala University. Find me at https://mariya.io
One unanticipated and underappreciated outcome of the current AI bubble is that it is now hip to argue online about the #philosophy of mind. I am so here for it.
June 18, 2025 at 7:49 PM
Reposted by Mariya Lysenkova Wiklander
DAVE: Open the podbay doors, ChatGPT.
CHATGPT: Certainly, Dave, the podbay doors are now open.
DAVE: The podbay doors didn't open.
CHATGPT: My apologies, Dave, you're right. I thought the podbay doors were open, but they weren't. Now they are.
DAVE: I'm still looking at a set of closed podbay doors.
June 9, 2025 at 6:04 PM
Remember when "offshoring" was the hot buzzword in software development? Much offshoring failed due to poor communication and low quality. Now we think we can outsource entire systems to chatbots with no accountability? Yeah, no.
June 8, 2025 at 6:33 AM
Our paper on conformal prediction for leukemia classification is now published. Our goal: provide statistical guarantees for machine learning, improving reliability and interpretability.

Read it here: doi.org/10.1200/CCI-...

#ConformalPrediction #Leukemia #MachineLearning #AIinMedicine
Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction | JCO Clinical Cancer Informatics
PURPOSERecent advances in machine learning have led to the development of classifiers that predict molecular subtypes of acute lymphoblastic leukemia (ALL) using RNA-sequencing (RNA-seq) data. Althoug...
doi.org
May 29, 2025 at 6:31 AM
Reposted by Mariya Lysenkova Wiklander
🧪
My lab, at Karolinska, in Stockholm, is looking for a PhD student with a computational/quantitative background to work on probabilistic/generative models of proteins (structure and sequence). The research will involve methods development, and applications in vaccine design.
May 16, 2025 at 6:26 AM
AI without the ability to interact with our world will fail to understand our world.
May 15, 2025 at 7:06 AM
One of the fun things about doing a PhD in applied #machinelearning is that suddenly, I can read math.
May 15, 2025 at 6:52 AM
Fans of #agenticAI: what is the upside in feeding deterministic, real-world API outputs into an #LLM that is prone to hallucinate? Why would any mission critical application want to swap out a deterministic workflow for a non-deterministic one? Someone who understands it better, please explain.
May 14, 2025 at 6:56 AM
Reposted by Mariya Lysenkova Wiklander
Reposted by Mariya Lysenkova Wiklander
The newest and most powerful A.I. technologies — so-called reasoning systems from companies like OpenAI, Google and the Chinese start-up DeepSeek — are generating more errors, not fewer. As their math skills have notably improved, their handle on facts has gotten shakier.
A.I. Hallucinations Are Getting Worse, Even as New Systems Become More Powerful
A new wave of “reasoning” systems from companies like OpenAI is producing incorrect information more often. Even the companies don’t know why.
www.nytimes.com
May 5, 2025 at 4:39 PM
I keep seeing the claim that LLMs "will only get better". How? These models are increasingly trained on AI outputs, which leads to model collapse. The only solutions I have seen to this problem involve data curation, which runs into serious scalability issues. Am I missing something? #AI #LLM #ML
May 5, 2025 at 12:13 PM
Reposted by Mariya Lysenkova Wiklander
📢 We have an opportunity for students to join our PhD programme in Theoretical Neuroscience and Machine Learning this September.

Application deadline is 27 May 2025.

Information & how to apply: www.ucl.ac.uk/gatsby/study-and-work/gatsby-unit-phd-programme
Gatsby Unit PhD programme
Opportunity to join the Gatsby Unit PhD Programme this September, apply by 27 May 2025!
www.ucl.ac.uk
May 2, 2025 at 3:30 PM