Intro
The goal of this page is to present the research papers & books I have read and the ones I have written during my Career.
My Papers
You can find all my papers on google scholar
Papers I am reading
Current paper database (Ph.D.)
For my Ph.D. I am currently reading many papers on the topics of Gene Regulation, Single Cell RNA Sequencing, and Deep Learning. You can follow it here
Old paper database (low quality)
For some time I had maintained a library and summary of papers I read which is not maintained anymore and in a poor state. You can still view it here however
Research Books
I don’t really read a lot of scientific books. But a while back, during my Masters, I had the time to read some great ones:
- David Travis.the fable of the user centered designer.
- GRE org. cracking the GRE.2017.
- Yu.G. Borisovich, N.M. Bliznyakov, T.N. Fomenko, Y.A. Izrailevich. _Introduction to Differential and Algebraic Topology
- Allen Hatcher. _Algebraic Topology
- Eric Ries. _The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses
- Stuart Russell, Peter Norvig. _Artificial Intelligence: A Modern Approach, Global Edition
- Ian Goodfellow, Yoshua Bengio, Aaron Courville. _Deep Learning
- Randall C. O'Reilly, Yuko Munakata. _Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
- David J. Barnes, Dominique Chu. _Introduction to Modeling for Biosciences
- Unkown. _UX Storytellers - Connecting the Dots
- Jeff Heaton. _Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
- Frans Johansson. The Medici Effect: What Elephants and Epidemics Can Teach Us about Innovation.
- Yuval Noah Harari, Pierre-Emmanuel Dauzat. Sapiens: Une brève histoire de l'humanité.
- Max Tegmark. Life 3.0: Being Human in the Age of Artificial Intelligence.
- Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition.
and I still have many more I wish to read some time.
- Karl J. Friston, et. al..attention, predictions and expectations, and their violation: attentional control in the human brain. Frontiers. 2016.
- Xavier Pennec & Co..A Riemannian Framework for Tensor Computing. 2006.
- Gödel, Escher, Bach. An Eternal Golden Braid. 1979.
- Ivan Bratko. _Prolog Programming for Artificial Intelligence
- John Kirkman. _Good Style: Writing for Science and Technology
- Carl Edward Rasmussen, Christopher K. I. Williams. _Gaussian Processes for Machine Learning
- Bruce Tate. _Seven Languages in Seven Weeks: A Pragmatic Guide to Learning Programming Languages
- Jianfeng Feng. _Computational Neuroscience: A Comprehensive Approach
- James M. Bower, Hamid Bolouri. _Computational Modeling of Genetic and Biochemical Networks
- Roger B. McDonald. _Biology of Aging Yvette Amice, Les Nombres p-adiques, PUF, 1975 (lire en ligne)
- computational neuroscience, chapman chap10-19 (10)