JosΓ© Manuel Robles-Aguilar's Avatar

JosΓ© Manuel Robles-Aguilar

@manuroag.bsky.social

manuroag.github.io AI and Physics to address complex challenges within the biological sciences. πŸ§¬πŸ’» M.Sc. in Statistical Physics at Cinvestav, Mexico City. (Expected completion in October 2025) πŸ” I am looking for a PhD position.

51 Followers  |  187 Following  |  4 Posts  |  Joined: 17.02.2025  |  1.7835

Latest posts by manuroag.bsky.social on Bluesky

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Incredible science and collaboration at the 13th Symposium on Structural Proteomics at @humantechnopole.bsky.social this week! πŸ§¬πŸ’»πŸ₯Ό

Great talks, great people, great future for the field. Honored to have been a part of it. See you all at the next one!

#StructuralProteomics #MassSpectrometry #Physics

11.10.2025 07:02 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Our IPP Community! 🫢 The past 2 days, we gathered at the annual IPP Symposium to connect with students from @unimainz.bsky.social, Uni Med #Mainz and IMB, share ideas, and get inspired by each other's research.

Apply to our open call via www.imb.de/phd and be a part of next year's event.

26.09.2025 11:00 β€” πŸ‘ 8    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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ICTP – SAIFR Β» Minicourse on Fundamentals of Biological Physics Home

ICTP-SAIFR: Minicourse on Fundamentals of Biological Physics - Application deadline
πŸ“† Oct 01, 2025

23.09.2025 08:00 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

1/ So you’re thinking about applying for an academic job in the UK but don’t know how? This thread will walk you through the essentials.

22.09.2025 13:06 β€” πŸ‘ 79    πŸ” 38    πŸ’¬ 5    πŸ“Œ 10
Figure 3 from the paper with the caption: "Role of machine learning in de novo design of IDRs. (A) Machine-learning models can be trained on diverse data sources, from molecular dynamics simulations to annotations of cellular localization and protein structures from the Protein Data Bank. (B) Often implemented as neural networks using sequence-encoded features as input, these models can initially be trained on a limited region of sequence space as surrogate models. Through active learning, additional simulations are performed during the design campaign to generate new data, and the surrogate model is retrained on the expanded dataset to progressively improve its accuracy. (C) Machine-learning models have been developed to predict biophysical observables, biological annotations, and protein structures. When combined, machine-learning models can be used to identify a set of sequences that strike a trade-off between multiple design objectives, defining a Pareto front."

Figure 3 from the paper with the caption: "Role of machine learning in de novo design of IDRs. (A) Machine-learning models can be trained on diverse data sources, from molecular dynamics simulations to annotations of cellular localization and protein structures from the Protein Data Bank. (B) Often implemented as neural networks using sequence-encoded features as input, these models can initially be trained on a limited region of sequence space as surrogate models. Through active learning, additional simulations are performed during the design campaign to generate new data, and the surrogate model is retrained on the expanded dataset to progressively improve its accuracy. (C) Machine-learning models have been developed to predict biophysical observables, biological annotations, and protein structures. When combined, machine-learning models can be used to identify a set of sequences that strike a trade-off between multiple design objectives, defining a Pareto front."

New review on computational design of intrinsically disordered proteins πŸ–₯️🍝 by @giuliotesei.bsky.social @fpesce.bsky.social & πŸ‘΄

doi.org/10.48550/arX...

17.09.2025 16:17 β€” πŸ‘ 48    πŸ” 16    πŸ’¬ 0    πŸ“Œ 1
Poster for a workshop organized by the Institute of Philosophy, KU Leuven, titled β€œBehavior Across the Tree of Life: Theoretical and Methodological Challenges.” The poster features circular images of lichens, bacteria, ants on a leaf, and a carnivorous plant with prey, symbolizing diverse behaving forms of life. 

Event details: 26–27 September 2025, Council Room (Raadzaal), Institute of Philosophy. 

Invited speakers: Kristin Aleklett, Silvia Guerra, Tobias Starzak, Kirsty Y. Wan. 

Organizers: Gianmaria Dani, Alejandro FΓ‘bregas-Tejeda, Grant Ramsey. KU Leuven logo appears at the top, with a QR code at the bottom right.

Poster for a workshop organized by the Institute of Philosophy, KU Leuven, titled β€œBehavior Across the Tree of Life: Theoretical and Methodological Challenges.” The poster features circular images of lichens, bacteria, ants on a leaf, and a carnivorous plant with prey, symbolizing diverse behaving forms of life. Event details: 26–27 September 2025, Council Room (Raadzaal), Institute of Philosophy. Invited speakers: Kristin Aleklett, Silvia Guerra, Tobias Starzak, Kirsty Y. Wan. Organizers: Gianmaria Dani, Alejandro FΓ‘bregas-Tejeda, Grant Ramsey. KU Leuven logo appears at the top, with a QR code at the bottom right.

We are gearing up for our interdisciplinary workshop next week! Bringing together both established & early-career researchers, the event will explore the theoretical & methodological challenges of studying behavior across the tree of life! πŸ‘‡ hiw.kuleuven.be/clps/events/... #philsci #HPbio #evosky

16.09.2025 14:12 β€” πŸ‘ 41    πŸ” 14    πŸ’¬ 4    πŸ“Œ 0

Now out in #ProteinScience! Work led by the talented πŸ₯³πŸ₯³@ananyac2000.bsky.social

onlinelibrary.wiley.com/doi/10.1002/...

15.09.2025 14:46 β€” πŸ‘ 22    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0
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PhD position available in Experimental and Computational Organic Materials Discovery at Imperial College London on FindAPhD.com PhD Project - PhD position available in Experimental and Computational Organic Materials Discovery at Imperial College London, listed on FindAPhD.com

πŸ“£ PhD position now open for Oct 2026 start based at @imperialchemistry.bsky.social: tinyurl.com/PhDFDF. An interdisciplinary project combining experimental
& computational materials discovery in a collaborative Royal Society-funded team. Co-supervised by @beckylgreenaway.bsky.social.

15.09.2025 13:44 β€” πŸ‘ 13    πŸ” 14    πŸ’¬ 0    πŸ“Œ 0
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From AlphaFold to MMseqs2-GPU: How AI is Accelerating Protein Science Podcast Episode Β· NVIDIA AI Podcast Β· 09/10/2025 Β· 35m

podcasts.apple.com/us/podcast/f...

11.09.2025 09:49 β€” πŸ‘ 10    πŸ” 3    πŸ’¬ 0    πŸ“Œ 1
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Our Autumn PhD call is OPEN!
20+ fully funded positions across diverse life science disciplines. Explore projects in Cell & Chromosome biology + more πŸ‘‰ www.vbcphd.at

Apply by 10 Oct 2025

11.09.2025 14:29 β€” πŸ‘ 8    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0

The materials from the β€œReproducible Bio-Image Analysis using #Python, #Napari, #Jupyter, and #AI” workshop, run by @haesleinhuepf.bsky.social as part of the @embo.org Course on #LightSheetMicroscopy, are now available #OpenAccess!

πŸ“— scads.github.io/embo-lsm-bia...
πŸ“• zenodo.org/records/1681...

03.09.2025 08:39 β€” πŸ‘ 13    πŸ” 4    πŸ’¬ 1    πŸ“Œ 0
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🚨 Save the date! 🚨
The 4th Building Bridges in Computational Biophysics is happening Oct 8, 2025!!
🌍 Virtual 🀝 Networking
πŸ“‘ Poster session (submit by Sept 26)
Sponsored by @biophysicalsoc.bsky.social and organized by
@vmonje.bsky.social @patsoto-biophys.bsky.social and Cecilia Bores!

03.09.2025 15:23 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 2
Careers Careers

We’re looking for fellow nerds to help us make disordered proteins druggable. Love #IDPs, #MD, #NMR, #AI, #DrugDiscovery, or #MassSpec? Let’s talk.
@bindresearch.org is hiring across the board: bindresearch.org/careers/
#compchem #compbio #NMRChat #TeamMassSpec #chemjobs @chemjobber.bsky.social

24.03.2025 10:51 β€” πŸ‘ 28    πŸ” 17    πŸ’¬ 0    πŸ“Œ 0
R for Biochemists 101 Online training 8 September 2025 Register online

R for Biochemists 101 Online training 8 September 2025 Register online

Launching soon! R for Biochemists 101 begins on Monday 8 September 2025. Don’t miss your chance to boost your data skills and gain confidence in R. Secure your place todayπŸ§ͺ : buff.ly/cyJve1t

03.09.2025 10:00 β€” πŸ‘ 5    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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πŸ“’ Recruitment for the EMBL International PhD Programme is officially open!

At EMBL, we train young scientists to become skilled and creative future leaders in academia and other sectors. Join us and get a head start on your career in life sciences!

bit.ly/47mmiFF

01.09.2025 09:07 β€” πŸ‘ 39    πŸ” 43    πŸ’¬ 0    πŸ“Œ 3
Pasteur-Paris University International Doctoral Programme, The call for enrollment of students in October 2026 will be open from September 1st to October 20th, 2025

Pasteur-Paris University International Doctoral Programme, The call for enrollment of students in October 2026 will be open from September 1st to October 20th, 2025

πŸŽ“ Applications for Institut Pasteur's PhD programs open Sept 1-Oct 20, 2025 for October 2026 entry.

Apply to up to 4 projects across 6 programs: PPU, PPU-IMAGINE @institutimagine.bsky.social, PPU-@ox.ac.uk, PPU-EID @upcite.bsky.social & more 🧬

Register now ✍️ www.pasteur.fr/en/education...

01.09.2025 09:44 β€” πŸ‘ 33    πŸ” 34    πŸ’¬ 0    πŸ“Œ 6
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✨ Looking for a paid internship in Europe?
The OECD Internship 2025 in Paris, France is calling! 🌍

Every year, 600+ students join the Organization for Economic Co-operation and Development (OECD) to gain international experience, contribute to policy work, and grow their professional skills.

29.08.2025 09:58 β€” πŸ‘ 5    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Choosing a PhD program is a big decision. Want a program that is tailored to your research interests and career development plans? Join us for our PhD information session series featuring Mount Sinai faculty and students πŸ‘‰ mshs.co/4dnWnNQ

29.08.2025 12:48 β€” πŸ‘ 2    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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AI is transforming medicine – from diagnosis to surgery. But innovation needs responsibility. From Oct 6–8, the β€œShaping the Future of Medical Decisions” symposium in GΓΆttingen brings experts from science, ethics, & law together. Register by Aug 31 to join them: ⬇️
gccc.umg.eu/ai-in-health...

22.08.2025 10:53 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
MLSB 2025 Workshop Workshop on Machine Learning in Structural Biology co-located with NeurIPS 2025

πŸ“’ Submissions for MLSB 2025 are officially open! We invite researchers to submit their work on the intersection of AI and structural biology.

πŸ—“οΈ Deadline: September 26, 2025 πŸ”— More info: cmt3.research.microsoft.com/MLSB2025

15.08.2025 18:10 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

πŸ“£ Physics & Life 2025 - last month to register!

πŸ“… October 2nd-3rd
πŸ“Institut Jacques Monod, Buffon amphitheater

Registration and abstract submission are open until September 5th
πŸ”— phys-life-2025.sciencesconf.org?lang=en

@sfp-physique.bsky.social @cnrsbiologie.bsky.social @upcite.bsky.social

11.08.2025 09:24 β€” πŸ‘ 6    πŸ” 7    πŸ’¬ 0    πŸ“Œ 0
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πŸ“„πŸ“„πŸ“„ The AI4Mat-NeurIPS-2025 workshop is now open for submissions until August 22, 2025 (AOE)!

Consider submitting full-length papers or shorter-length findings. We also have a special track for papers on benchmarking AI for materials design.

sites.google.com/view/ai4mat/...

05.08.2025 06:55 β€” πŸ‘ 7    πŸ” 3    πŸ’¬ 2    πŸ“Œ 1
Structure Prediction and Design using AlphaFold – Sami Chaaban
YouTube video by MRC Laboratory of Molecular Biology Structure Prediction and Design using AlphaFold – Sami Chaaban

Great talk by @sami-c.bsky.social about the proper use and caveats of AlphaFold2/3 predictions, highly recommended to watch www.youtube.com/watch?v=z7vy...

01.08.2025 09:53 β€” πŸ‘ 40    πŸ” 12    πŸ’¬ 1    πŸ“Œ 0
ScaDS.AI Summer School LLM Training
This is a collection of Jupyter Notebooks about basic and advanced LLM usage, focusing on what’s practicslly possible with Large Language Models. We demonstrate most utilities using the ScaDS.AI Large Language Models (LLM) Servicer (TU Dresden VPN required). Most exercises should also work with other providers such as GWDG KISSKI and Helmholtz Blablador. The tutorial aims at Python programmers who want to dive into LLMs for generating text, code and data using open source/weights models. After this course they will be able to integrate LLMs into their software applications.

Contributions and feedback are very welcome! In case you see room for improvement, please create a github issue and/or consider contributing.

Topics
The notebook collection aims covering these topics:

Large Language Models (LLMs)

Text/Code/Data generation

Prompt Engineering

Retrieval-augmented-generation

Vision

Function calling

Agents

Covered Python libraries and software
In these notebooks we use libraries from the GenAI field:

bia-bob

llama-index

ollama

openai

Slide decks
Also training slides can be downloaded from zenodo: https://doi.org/10.5281/zenodo.15743126

Videos
The materials provided here were also discussed in a couple of recorded Online Lectures

Large Language Models for Bio-image Analysis (ScaDS.AI Living Lab lecture 2024)

Large Language Models – an introduction for life scientists (GloBIAS Seminar 2024)

Bio-image Analysis Code Generation (I2K Conference 2024)

Generative Artificial Intelligence for Bio-image Analysis

Related resources
The notebooks presented here were partially taken from other places or inspired by code in these resources:

ScaDS.AI Summer School LLM Training This is a collection of Jupyter Notebooks about basic and advanced LLM usage, focusing on what’s practicslly possible with Large Language Models. We demonstrate most utilities using the ScaDS.AI Large Language Models (LLM) Servicer (TU Dresden VPN required). Most exercises should also work with other providers such as GWDG KISSKI and Helmholtz Blablador. The tutorial aims at Python programmers who want to dive into LLMs for generating text, code and data using open source/weights models. After this course they will be able to integrate LLMs into their software applications. Contributions and feedback are very welcome! In case you see room for improvement, please create a github issue and/or consider contributing. Topics The notebook collection aims covering these topics: Large Language Models (LLMs) Text/Code/Data generation Prompt Engineering Retrieval-augmented-generation Vision Function calling Agents Covered Python libraries and software In these notebooks we use libraries from the GenAI field: bia-bob llama-index ollama openai Slide decks Also training slides can be downloaded from zenodo: https://doi.org/10.5281/zenodo.15743126 Videos The materials provided here were also discussed in a couple of recorded Online Lectures Large Language Models for Bio-image Analysis (ScaDS.AI Living Lab lecture 2024) Large Language Models – an introduction for life scientists (GloBIAS Seminar 2024) Bio-image Analysis Code Generation (I2K Conference 2024) Generative Artificial Intelligence for Bio-image Analysis Related resources The notebooks presented here were partially taken from other places or inspired by code in these resources:

I just finished a full-day hands-on tutorial about applications of LLMs as part of the @scadsai.bsky.social Summer School. Big thanks everyone for the lively discussions about prompt engineering, code&data generation, RAG, vision, function calling and #AI agents πŸ–₯πŸ€–πŸš€
scads.github.io/LLM_Summer_S...

26.06.2025 17:03 β€” πŸ‘ 14    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0
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Time to get signed up for the Symposium on Structural Proteomics! This time at @humantechnopole.bsky.social in Milan 6th-8th October Full speaker lineup announced. Thanks to @thermofishersci.bsky.social @brukercorporation.bsky.social, Affipro and MSVision for support
Info
ssp2025.squarespace.com

22.07.2025 15:12 β€” πŸ‘ 7    πŸ” 5    πŸ’¬ 0    πŸ“Œ 3
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Design of intrinsically disordered region binding proteins Intrinsically disordered proteins and peptides play key roles in biology, but a lack of defined structures and high variability in sequence and conformational preferences have made targeting such syst...

www.science.org/doi/10.1126/...

17.07.2025 20:15 β€” πŸ‘ 8    πŸ” 6    πŸ’¬ 0    πŸ“Œ 0
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πŸŽ‰ Great news: Our Machine Learning and Physical Sciences workshop will be back again this year! πŸŽ‰
Keep an eye out for updates on deadlines etc, we will be updating the website soon
ml4physicalsciences.github.io
#ML4PS2025

10.07.2025 15:09 β€” πŸ‘ 33    πŸ” 9    πŸ’¬ 0    πŸ“Œ 2
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The AI+Science Summer School 2025 has had a lasting impact on my development-both as a scientist and as a person. I am deeply grateful to everyone who made it possible, and to the brilliant, kind people I had the joy of meeting. It was an incredibly enriching experience! β€οΈβ€πŸ©Ή

09.07.2025 02:31 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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AI for protein design In the last 5 years, the scientific community has witnessed the development of several AI-based tools for groundbreaking advances in protein science. These tools have enabled scientists to predict pr…

Learn about #AI tools in #protein #science, including design and engineering, at the EMBO Practical Course "AI for protein design" in Puerto Varas, Chile, 3–9 November 2025.

Deadline: 1 August

meetings.embo.org/event/25-ai-...
#LifeSciences #research #training #ProteinStructure #EMBOevents πŸ§ͺ

07.07.2025 12:07 β€” πŸ‘ 10    πŸ” 8    πŸ’¬ 1    πŸ“Œ 0

@manuroag is following 20 prominent accounts