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I am **Hosein Fooladi**, Just a human being. The following descriptions are just social statuses that I have gained through my life, which you may or may not be interested in.
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I am **Hosein Fooladi**, System Biology and also Machine Learning Researcher, and currently a PhD student at [Comp3D](https://comp3d.univie.ac.at/) lab. I have obtained my MSc in Biomedical Engineering from Sharif University of Technology and BSc in Mechanical engineering from Amirkabir University of Technology that enabled me to enrich my knowledge in diverse areas such as nonlinear dynamical system analysis, computational and system biology, computational neuroscience, machine learning (including deep learning) for genomics data and biomedical image analysis.
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I am **Hosein Fooladi**, an experienced Data Scientist and Machine Learning researcher specializing in drug discovery, computational biology, and causal learning. I am currently pursuing my PhD in Pharmaceutical Sciences (Cheminformatics) at the University of Vienna, where I work at the [Comp3D](https://comp3d.univie.ac.at/) lab. My thesis focuses on developing machine learning models for domain generalization in the chemical space.
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My academic journey began with a BSc in Mechanical Engineering from Amirkabir University of Technology and continued with an MSc in Biomedical Engineering from Sharif University of Technology, where I was awarded as the Best Master's Student. This diverse educational background has enabled me to enrich my knowledge in areas such as nonlinear dynamical system analysis, computational and systems biology, computational neuroscience, and machine learning for genomics data and biomedical image analysis.
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I have been actively involved in different projects including cell fate specification and pattern formation during development
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(in collaboration with Royan Institute, Tehran, Iran), and the application of deep learning in disease modeling and drug discovery
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(in collaboration with the Cambridge Systems Biology Centre, University of Cambridge).
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#### Research Interests
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Now, my main research areas are machine learning in drug discovery (generally scientific machine learning) and the intersection
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of artificial intelligence with cognition (vaguely named AGI). Occasionally, I am doing freelancing works. So please feel
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free to [contact](mailto:fooladi.hosein@gmail.com) me if you think your project has an intersection with my expertise domain.
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My research focuses on developing robust machine learning models that can generalize across different domains in the chemical space. I have proven expertise in:
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## Interests
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- Drug discovery and computational chemistry
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- Out-of-distribution generalization
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- Protein degradation and ternary complex prediction
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- Deep learning and Bayesian inference
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- Cheminformatics, Bioinformatics and molecular modeling
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- Machine learning
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- Computational Drug Discovery and Design
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- Philosophy and Psychology
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- Physics
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You can consider me as an explorer, because I have explored a lot of different fields and disciplines. I like authentic and original ideas.
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#### Non-Academic
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### Non-Academic
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- I love watching anime and reading manga. My favorites animes are Neon Genesis Evangelion, Death Note, Attack On Titans and Tokyo Ghoul. I have started writing notes about underlying anime philosophies.
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- I love watching anime and reading manga. My favorites animes are Death Note, Attack On Titans and Tokyo Ghoul. I have started writing notes about underlying anime philosophies.
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- I like sports a lot. I am a professional Squash and Football player. Moreover, I am a fan of Formula 1.
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- In addition, I am enjoying reading philosophical and psychological books. you can refer to [my goodreads](https://www.goodreads.com/user/show/75993307-hosein-fooladi) to find out more about my favorites topics.
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- Moreover, I like playing games. I prefer the games in the style of [Limbo](https://playdead.com/games/limbo/) and [Inside](https://playdead.com/games/inside/)
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- Moreover, I like playing games. I prefer the games in the style of [Limbo](https://playdead.com/games/limbo/) and [Inside](https://playdead.com/games/inside/)
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