cv.yaml

name:
  first: Becker
  last: Ilja
phone: ~(+49)~160~1050905
email: ilja.becker@b-tu.de
email: mail@iljabecker.eu
pdf: /data/cv.pdf
src: https://github.com/bamos/cv
url: "chillja.github.io"
social:
  github: chillja
# twitter: brandondamos
  linkedin: ilja-becker
# google_scholar: d8gdZR4AAAAJ
# Erdős  number is at most 4.
# (Brandon Amos -> Layne Watson -> Leroy Kelly -> Zoltán Füredi -> Paul Erdős )

# LaTeX formatting.
style: classic # casual, classic, oldstyle, or banking
color: green # blue, orange, green, red, purple, grey and black
color2: '0.25,0.25,0.25' # Make the font under the name a darker grey.

# (tag, section type, title)
order:
  # - [about, NONE]
  # - [news, News]
  - [education, Education]
  # - [research, Research Experience]
  # - [selected_publications, Selected Publications]
  # - [NEWPAGE, NEWPAGE]
  # - [teaching, Teaching Experience]
  - [languages, Languages]
  - [industry, Industry Experience]
  - [teaching, Teaching Experience]
  # - [projects, Projects]
  # - [coursework, CMU Graduate Coursework]
  # - [honors, Honors \& Awards]
  - [skills, Skills]
  # - [NEWPAGE, NEWPAGE]
  # - [all_publications, All Publications]
  # - [activities, Activities]

# about: '
#   I am a researcher and broadly study foundational topics
#   and applications in
#   <b>machine learning</b> (sometimes deep) and
#   <b>optimization</b> (sometimes convex),
#   including
#   reinforcement learning, computer vision, language,
#   statistics, and theory.
#   I am finishing a Ph.D. at <b>Carnegie Mellon University</b>
#   advised by \href{http://zicokolter.com/}{Zico Kolter}
#   and am supported by an <b>NSF graduate research fellowship.</b>
#   My dissertation is entitled
#   "Differentiable Optimization-Based Inference for Machine Learning"
#   and my <b>thesis proposal</b> is available
#   \href{https://goo.gl/MTiDrb}{here}.
#   My publications are available below and on
#   my \href{https://scholar.google.com/citations?user=d8gdZR4AAAAJ}{Google Scholar} page.
#   <br><br>
#   My research straddles <b>applied and theoretical contributions</b>.
#   Over the past three years (since 2016) I have focused on
#   foundational contributions to the <b>NIPS, ICML, and ICLR communities</b>.
#   The core pillars of my dissertation are
#   my <b>ICML 2017</b> papers on
#   \href{https://arxiv.org/abs/1609.07152}{input-convex neural networks}
#   and
#   \href{https://arxiv.org/abs/1703.00443}{OptNet layers}.
#   My <b>NIPS 2018</b> paper uses OptNet as a foundation to
#   <b>combine model-free and model-based</b> reinforcement learning.
#   I have also worked on <b>reinforcement learning</b>
#   during an internship
#   with
#   \href{https://www.cs.ubc.ca/~nando/}{Nando de Freitas}
#   and
#   \href{http://mdenil.com/}{Misha Denil}
#   at <b>DeepMind</b> in 2017,
#   publishing an <b>ICLR 2018</b> paper
#   \href{https://arxiv.org/abs/1804.06318}{Learning Awareness Models},
#   and on <b>combinatorial and discrete learning problems</b>
#   with \href{http://vladlen.info}{Vladlen Koltun}
#   at <b>Intel Labs</b> in 2018.
#   <br><br>
#   Before this, as an undergraduate (from 2011-2014) I focused on compilers,
#   distributed systems, mobile computing, and
#   \href{https://vtechworks.lib.vt.edu/bitstream/handle/10919/49672/qnTOMS14.pdf}{Quasi-Newton Methods for Stochastic Optimization}.
#   I value important <b>societal applications</b> of my work and
#   spent the first two years of my Ph.D. (from 2014-2016)
#   working on applied machine learning and computer vision technologies
#   underlying <b>mobile and wearable cognitive assistance systems</b>
#   with
#   \href{https://www.cs.cmu.edu/~satya/}{Mahadev Satyanarayanan},
#   publishing papers at <b>systems- and mobile-oriented</b> venues during this time.
#   <br><br>
#   I strongly believe in <b>open science, reproducible research,
#   and well-engineered projects</b>
#   and actively publish code on \href{https://github.com/bamos}{my Github profile}.
#   This led me to create
#   \href{https://cmusatyalab.github.io/openface/}{OpenFace} in 2016,
#   which was the first open-source deep-learning-based
#   face recognition project.
#   I <b>deeply value collaboration</b> and believe it catalyzes scientific
#   progress and have been involved as a non-primary co-author on
#   <b>~15 papers</b> over the past few years.
#   I enjoy <b>writing and teaching introductory material</b> if I see an opportunity,
#   like
#   \href{http://bamos.github.io/2016/08/09/deep-completion/}{this blog post on image completion with GANs.}
#   <br><br>
#   <b>I am on the job market.</b>
#   For at least the next decade of my career I want to stay
#   in the machine learning research community.
#   I am looking for a position that lets me continue to
#   <b>straddle foundational and applied contributions</b> to the field.
#   Please \href{http://bamos.github.io/data/cv.pdf}{get in touch}
#   if you have an opening.
#   <br><br>'

news:
  - date: Dec 2018
    info: I will be attending 35c3 in Leipzig.

education:
  - school: Brandenburg University of Technology
    location: Cottbus, Germany
    degree: M.Sc. in Computer Science
    dates: Oct 2016 -- Mar 2019 (expected)

  - school: Brandenburg University of Technology
    location: Cottbus, Germany
    degree: B.Sc. in Information and Media Technology
    dates: Oct 2011 -- Mar 2016
    # overallGPA: 2.3

  - school: Staatl. Gymnasium "Am Lindenberg"
    location: Ilmenau, Germany
    degree: Abitur (A-Levels)
    dates: Aug 2003 -- May 2011
    # overallGPA: 1.5

research:
#  - place: Carnegie Mellon University
#    location: Pittsburgh, Pennsylvania
#    title: Research Assistant
#    advisor: Mahadev Satyanarayanan
#    dates: Aug 2014 -- Apr 2016
#    area: Applied machine learning and mobile systems
#    details:
#      - |
#          Face recognition with deep neural networks:
#          \url{http://github.com/cmusatyalab/openface}

industry:
  - place: Cyberus Technology
    location: Dresden, Germany
    title: Werkstudent
    dates: May 2017 -- present
    area: x86 virtualisation, virtual machine introspection
    details:
      - Test and feature development for a x86 based virtualisation and
        introspection platform
  - place: FireEye
    location: Dresden, Germany
    title: Software Engineer Intern
    dates: Jan 2016 -- Aug 2016
    details:
      - x86 virtualisation and security platform
      - compiler based hardening and dynamic analysis, randomness library

teaching:
  - semester: SS2017
    name: Introduction to Programming (Java)
    # short: CMU 15-780
    position: Tutor
  - semester: WS2012
    name: Introduction to Programming (C)
    # short: CMU 15-440/640
    position: Tutor

selected_publications:
  name: "B. Amos"
  file: selected.bib

all_publications:
  name: "B. Amos"
  categories:
    - heading: Preprints and Tech Reports
      prefix: P
      file: tech-reports.bib
    - heading: Conference Proceedings
      prefix: C
      file: conference.bib
    - heading: Journal Articles
      prefix: J
      file: journal.bib
    - heading: Workshop, Symposium, and Short Papers
      prefix: W
      file: short.bib
    - heading: Magazine Articles
      prefix: M
      file: magazine.bib
    - heading: Posters
      prefix: S
      file: posters.bib


coursework:
  #- semester: S2017
  # name: Statistical Machine Learning (10-702, Au)
  # instructor: L. Wasserman

languages:
  - language: German
    level: Mothertongue
  - language: English
    level: Fluent
    comment: 10 years of school education
  - language: Russian
    level: Good knowledge
    comment: 4 years of school education
  - language: French
    level: Basic knowledge
    comment: 2 years of school education
  - language: Japanese
    level: Basic knowledge
    comment: Exchange semester
  - language: Spanish
    level: Basic knowledge
    comment: Autodidact

skills:
  - title: Languages
    details: C/C++, Java, Haskell, Assembly, {\LaTeX}, Matlab, Python, Prolog
  # - title: Frameworks
  #   details: Akka, NumPy, Pandas, PyTorch, SciPy, TensorFlow, Torch7
  # - title: Development
  #   details: Dynamic Analysis, Hardening, CI, QA
  - title: Systems
    details: Linux, OSX
#  - title: Classical Guitar
#    details: 11 years of traditional education<br>
#             Participating twice, each, in state and nation level "Jugend Musiziert" competition
#  - title: Singing
#    details: several years of singing in various choirs<br>
#             Participating within a Quartett in nation level "Jugend Musiziert" competition
#  - title: Acting
#    details: several years of playing in school and uni theater groups<br>
#             3 years of acting classes in school
#  - title: Driving
#    details: European Driving Licence Class B
#  - title: Martial Arts
#    details: 1 year of training Shotogan Karate (Christina Herold), 1.5 years Shinki-Rengo-Aikido (Ralf Regel),
#             4 years Ki Tai Jutsu (Torsten Wolf)

honors:
  - title: Partial scholarship in the context of the DAAD PROMOS mobility program
    year: 2014
  - title: Japanese Government scholarship (JASSO Student Exchange Support Program)
    year: 2014

projects:
  website:
    name: Personal Blog and Website
    url: http://chillja.github.io
    details:
      - Hosted on GitHub Pages. Uses {\bf Markdown} for posts and {\bf Styx}
        for static HTML generation.
#  github:
#    name: GitHub Portfolio
#    url: http://github.com/chillja
#    details:
#      - Hosts code samples, original source code, and patches for
#        open source projects.
#      - 25 original repositories, 5 forked repositories.

activities:
  - name: Muggefug e.V. (Student's Music Club)
    details: President (03/13 -- 03/14), Member since 2012.
  - name: Student's Parliament BTU
    details: Member of Parliament 05/12 -- 01/14<br>
             Board Member 07/13 -- 01/14<br>
             Chairman of Election Comission 10/13 -- 01/14