Intro

I am a PhD student in the Computer Science Department at Carnegie Mellon Univeristy co-advised by Ameet Talwakar and Graham Neubig. Before starting my PhD, I was Research Engineer at Facebook AI Research (FAIR) in Seattle. My current research interests broadly covers Meta-Learning situated in the context of Natural Language Processing. I have previously worked in Computer Vision - specifically CV algorithms for High Energy Physics (HEP) and Video Understanding. I did my undergrad (Physics) and Masters (Computer Science) at Stanford University. Outside of A.I, I am very passionate about Music, Art , Neuroscience, Philosophy and Food !!.

2021 Book List

  • Project Hail Mary - Andy Weir
  • Hold Everything Dear - John Berger
  • Guns, Germs and Steel - Jared Diamond
  • Hyperbole and Half - Allie Brosh
  • Ministry For The Future - Kim Stanley Robinson

In Progress

  • Capital in the 21st Century - Thomas Picketty
  • Letters to my palestinian neighbor - Yossi Klein Halevi
  • Infinite Jest - David Foster Wallace

2020 Book List

  • The Stranger - Albert Camus
  • Awards for good boys - Shelby Lorman
  • The Game - Neil Strauss
  • Predictably Irrational - Daniel Ariely
  • The Genealogy of Morals - Friedrich Nietzsche
  • The Three-Body Problem - Cixin Liu
  • Atomic Habits - James Clear
  • Modern Ethics in 77 Arguments : A Stone Reader
  • Dune - Frank Herbert

2019 Book List

  • Man's Search For Meaning - Viktor Frankl
  • Reductionism in Art and Brain Science - Eric R. Kandel
  • The Myth of Sisyphus - Albert Camus
  • Logic Comix - Apostolos Doxiadis, Christos Papadimitriou
  • The New Jim Crow - Michelle Alexander
  • The Fifth Season - N.K. Jemisin
  • Deep Work - Cal Newport
  • The Riddle Master Series [3 Books] - Patricia McKillip
  • His Dark Materials [3 Books] - Phillip Pullman
  • The Upward Spiral - Alex Korb
  • Portraits of Resilience - Daniel Jackson

Full CV

Education

Aug 2019 - May 2023 PhD in Computer Science
Carnegie Mellon University
Sept 2016 - June 2018 Masters in Computer Science ** Tau Beta Pi
Stanford University
Sept 2013 - June 2017 Bachelors in Physics, Minor in Computer Science ** with Distinction
Stanford University

Experience

July 2020 - August 2020 Research Intern, Google Brain - Google
July 2018 - July 2019 Software Engineer, Facebook A.I Research - Facebook
June 2017 - Sept 2017 Software Engineering Intern, Applied Machine Learning - Facebook
June 2016 - Sept 2016 Software Engineering Intern, Terra Bella - Google
June 2015 - Sept 2015 Software Engineering Intern, Google Analytics - Google

Publication List

Auxiliary Task Update Decomposition : The Good, The Bad and The Neutral
Lucio Dery, David Grangier, Yann Dauphin
ICLR, 2021
Weakly supervised classification in high energy physics
Lucio Mwinmaarong Dery , Benjamin Nachman, Francesco Rubbo, Ariel Schwartzman
Journal of High Energy Physics 2017.5 (2017): 1-11
Audio to Body Dynamics
Eli Shlizerman, Lucio Dery, Hayden Schoen, Ira Kemelmacher. “Audio to Body Dynamics.”
CVPR, 2018
Finding ‘It’: Weakly-Supervised Reference-Aware Visual Grounding in Instructional Video
D.A-Huang, Shyamal Buch, Lucio Dery, Animesh Garg, Li Fei-Fei, Juan Carlos Niebles
CVPR, 2018

Teaching

Winter 2018 Head Teaching Assistant, Deep Learning (CS230) Stanford University
Spring 2018 Course Assistant, Deep Learning (CS230) Stanford University
Fall 2017 Course Assistant, Machine Learning (CS229) Stanford University
Winter 2014 - Spring 2017 Section Leader, Programming Abstactions (CS106A) Stanford University
Winter 2014 - Spring 2017 Section Leader, Programming Methodology (CS106B) Stanford University

Email :

ldery [at] andrew [dot] cmu [dot] edu

Working on getting better at drawing and painting ! I hope I find the time. Here's some random artwork I've made in the past

Art