The document summarizes a career day presentation by Felix Klein on his background in physics and radiation dosimetry and his transition to bioinformatics. Klein discusses his work analyzing chromatin structure through techniques like 4C and HiC. He highlights the interdisciplinary nature and programming aspects of bioinformatics. Klein also emphasizes the importance of communication skills and working with biology groups. He acknowledges collaborators from his institute and notes bioinformatics work involves both programming and meetings.
Career Paths in the Life Sciences. Janssens, Summer 2012phdcareers
Slides of presentation at Career Day in Lübeck
http://www.gradschool.uni-luebeck.de/index.php?id=13&no_cache=1&tx_ttnews%5Btt_news%5D=199&cHash=579a927bdfcf2c7d26862c28f74c0a76
Career Paths in the Life Sciences. Janssens, Summer 2012phdcareers
Slides of presentation at Career Day in Lübeck
http://www.gradschool.uni-luebeck.de/index.php?id=13&no_cache=1&tx_ttnews%5Btt_news%5D=199&cHash=579a927bdfcf2c7d26862c28f74c0a76
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
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- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
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We will cover:
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- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
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1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
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https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
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Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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Bob Boule
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Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
2. Background
• physics diploma, University of Heidelberg
• diploma thesis in radiation dosimetry
at DKFZ
• measurements at HIT
2 24.05.2012 Felix Klein
3. Why bioinformatics?
• interdisciplinary
• programmed in R
• worked on data analysis
3 24.05.2012 Felix Klein
6. Investigation of chromatin 3D structure
• role of chromatin 3D structure in gene regulation
• 4C to investigate detailed interactions of
cis-regulatory modules (CRMs)
• global chromatin interactome using HiC
6 24.05.2012 Felix Klein
9. What was important for me?
• bioinformatics group with
members of diverse
backgrounds
• PI who successfully
trained bioinformaticians
• well established group in
bioinformatics
9 24.05.2012 Felix Klein
10. What might be interesting for you
• turn data into biology
• interaction with people from biology groups
• communication skills !!!
• workload divides mainly into:
• programming (50 %)
• reports, meetings, email
10 24.05.2012 Felix Klein
11. Acknowledgements
Wolfgang Huber
Simon Anders
Joseph Barry
Bernd Fischer
Julian Gehring
Aleksandra Pekowska
Paul Theodor Pyl
Alejandro Reyes
Maria Secrier
Collaborators:
Michael Boutros
Christian Volz
Eileen Furlong
Yad Ghavi Helm
11 24.05.2012 Felix Klein
12. Data production rates
LHC: 1.8 GB / s at peak capacity (i.e. actively conducting a
primary aspect of the LHC’s four main experiments: ATLAS,
ALICE, CMS, and LHCb).
These experiments will take roughly a decade to complete, and
each of them is expected to produce over a 1 PB per year of
data.
One Illumina HiSeq: up to 600 Gb/run , i.e. ~600 GB/10 days =
18 TB/year (not including derived data e.g. BAM)
One Digital Embryo (2008): 3.5 TB (2048 x 2048 x 370 x 1226)
EMBL-EBI: in 9/2011, data storage capacity was 14 PB