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General Information
Full Name | Adam Joseph Eisen |
Date of Birth | November 8th 1996 |
Languages | English |
Education
- Sep 2020 - Present
PhD Candidate in Brain and Cognitive Sciences
Massachusetts Institute of Technology, Cambridge, MA, USA
Advisors:Earl K. Miller and Ila R. Fiete
- Sep 2014 - Apr 2018
Bachelor of Applied Science in Mathematics & Engineering, Computing and Communications Option
Queen's University, Kingston, Ontario, Canada
Advisor:Abdol-Reza Mansouri
- GPA - 4.12/4.3
- Dean's Scholar Designation - (2015, 2016, 2017, 2018)
Papers
- 2024
- Eisen, A.J.*, Kozachkov, L.*, Bastos, A.M., Donoghue, J.A., Mahnke, M.K., Brincat, S.L., Chandra, S., Brown, E.N., Fiete, I.R., and Miller, E.K. “Propofol anesthesia destabilizes neural dynamics across cortex” Neuron (2024). [Link]
- Ostrow, M., Eisen, A.J., and Fiete, I.R. "Delay Embedding Theory of Neural Sequence Models" ICML Workshop on Next Generation Sequence Models (2024). [Link]
- 2023
- Ostrow, M., Eisen, A.J., Kozachkov, L., and Fiete, I.R. "Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis" Neural Information Processing Systems (2023). [Link]
- 2018
- Das, S., Eisen, A.J., Lin, Y.H., Chan, H.S. “A lattice model of charge-pattern- dependent polyampholyte phase separation” The Journal of Physical Chemistry B (2018) [Link]
Research and Work Experience
- Sep 2020 - Present
Graduate Student
MIT, Cambridge, MA
Advisors:Prof. Earl K. Miller and Ila R. Fiete
- Developed a novel approach to analyzing the stabiltiy of neural dynamics, leveraging tools from dynamical systems theory
- Demonstrated that propofol anesthesia destabilizes neural dynamics through comprehensive large-scale data processing, analysis, and visualization
- Constructed a novel metric for comparing the dynamics between systems, and applied it to disentangle machine learning rules
- Sep 2018 - Aug 2020
Research and Development
Heliolytics, Toronto, ON, Canada
- Developed and integrated machine learning and computer-vision algorithms for pixel-level aerial image matching, improving accuracy from about 75% to 99.9%
- Designed and constructed a distributed network of computing and monitoring systems to implement high volume image processing and analysis pipelines
- Constructed a framework using quantitative metrics and statistics to assess algorithm performance and improvement
- Sep 2017 - Apr 2018
Senior Thesis Student
Queen's University Department of Mathematics and Engineering, Kingston, ON, Canada
Advisor:Prof. Abdol-Reza Mansouri
- Thesis: "Image restoration algorithms for musical style transfer"
- Applied machine learning and computer vision to learn a musical style, and adapted a stochastic image model and Markov chain Monte Carlo methods to transform audio samples into the learned style
- May 2017 - Aug 2017
Machine Learning Researcher
The Hospital for Sick Children Department of Genetics & Genome Biology, Toronto, ON, Canada
Advisor:Prof. Lisa Strug
- Built and tested deep learning models for predicting the likelihood of comorbidities in patients with cystic fibrosis based on genetic data
- Analyzed and compared the predictive power of additional models including random forests and penalized regressions
- May 2016 - Aug 2016
Research Assistant
University of Toronto Department of Biochemistry, Toronto, ON, Canada
Advisors:Prof. Hue Sun Chan and Lewis Kay
- Optimized and expanded a C++ model to carry out Monte Carlo simulations of interactions among charged polymers leading to polymer phase separation
- Validated an analytic theory regarding polymer radius of gyration
Talks
- May 24, 2023
- The Science of Consciousness Conference, Taormina, Italy
- Title: "Propofol anesthesia destabilizes neural dynamics across cortex"
- January 26, 2022
- The MetaConscious (Yang) Lab, MIT, Cambridge, MA
- Title: "Propofol anesthesia destabilizes neural dynamics across cortex"
Writing
- 2023
- Eisen, A.J. “Mapping the Mountains and Valleys of the Mind” MIND OCEAN SPACE (2024). [Link]
Distinctions and Awards
- 2020, 2021
- Singleton Fellowship
- 2018
- Annie Bentley Lillie Prize in Mathematics, awarded to the graduating student in Mathematics and Engineering who has the highest average on courses in mathematics in the final year
- Keyser Prize, awarded to the two best Mathematics and Engineering theses
- 2017
- Nellie and Ralph Jeffrey Award in Mathematics, awarded to the student entering the fourth year of the Mathematics and Engineering program, or of an honours program with a Mathematics major, having the highest standing in the mathematics courses of the first three years and an overall first-class average
- 2016
- Nellie and Ralph Jeffrey Award in Mathematics
- Susan Near Scholarship, for standing on year's work
- 2015
- H. Janzen Memorial Scholarship, awarded annually to the student who attained the highest standing in the first year physics courses in Applied Science
- R.L. Dorrance Memorial Scholarship, given by the Engineering Society for highest standing in the first year chemistry courses in Applied Science
- Annie Bentley Lillie Prize in First Year Calculus, awarded to students with high standing in any first year calculus course
- 2014
- Carl Reinhardt Entrance Scholarship in Physics, for high standing in physics
- Principal's Entrance Scholarship, for obtaining grade 12 average of 98%
- Valedictorian of the high school graduating class, selected by peers and faculty
Conferences
- 2024
- Ostrow, M., Eisen, A.J., et al. "Beyond Geometry: Comparing the Temporal Structure of Neural Computation with Dynamical Similarity Analysis" (Oral Presentation)
Computational and Systems Neuroscience, 2024, Lisbon, Portugal
- Ostrow, M., Eisen, A.J., et al. "Beyond Geometry: Comparing the Temporal Structure of Neural Computation with Dynamical Similarity Analysis" (Oral Presentation)
- 2023
- Ostrow, M., Eisen, A.J., et al. "Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis"
Neural Information Processing Systems, 2023, New Orleans, LA - Ostrow, M., Eisen, A.J., et al. "Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamic Mode Representational Similarity Analysis" (Oral Presentation)
Computational Cognitive Neuroscience, 2023, Oxford, United Kingdom - Eisen, A.J., et al. "Propofol anesthesia destabilizes neural dynamics across cortex" (Oral Presentation)
The Science of Consciousness Conference, 2023, Taormina, Italy - Eisen, A.J., et al. “Propofol anesthesia destabilizes neural dynamics across cortex"
Computational and Systems Neuroscience, 2023, Montreal, QC, Canada
- Ostrow, M., Eisen, A.J., et al. "Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis"
- 2022
- Eisen, A.J., et al. "Propofol anesthesia destabilizes neural dynamics across cortex"
Society for Neuroscience 2022, San Diego, CA
- Eisen, A.J., et al. "Propofol anesthesia destabilizes neural dynamics across cortex"
- 2021
- Eisen, A.J., et al. "Propofol anesthesia changes dynamic stability in cortex" (Virtual)
Society for Neuroscience 2021, Chicago, IL
- Eisen, A.J., et al. "Propofol anesthesia changes dynamic stability in cortex" (Virtual)
Teaching and Mentoring Experience
- Sep 2021 - Apr 2024
Application Assistance Mentor
Brain and Cognitive Sciences Application Assistance Program, MIT, Cambridge, MA, USA
- Guided more than 15 propsective applicants to Brain and Cognitive Sciences through the application process
- Provided constructive feedback on statements of purpose, CVs, and other application materials
- Assissted applicants in identifying programs and advisors that aligned with their research interests and career goals
- Sep 2023 - Dec 2023
Mentor
Mentee:Nicole Wong, Undergraduate Researcher at MIT
- Provided instruction on dynamical systems theory concepts and practice
- Jan 2023 - Apr 2023
Teaching Assistant
Massachusetts Institute of Technology, Cambridge, MA, USA
Course:MIT 9.40, Introduction to Neural Computation
- Led recitations, conducted review sessions, and held office hours
- Awarded an overall rating of 6.4/7 in student feedback surveys, the highest of all instructors for the course in 2023
- Sep 2021 - Dec 2021
Teaching Assistant
Massachusetts Institute of Technology, Cambridge, MA, USA
Course:MIT 9.07, Statistics for Brain and Cognitive Sciences
- Led recitations, conducted review sessions and office hours, and filled in as primary lecturer when the instructor was unavailable
- Awarded an overall rating of 6.5/7 in student feedback surveys, the highest of all instructors for the course in 2021
- Student feedback said "He went above and beyond for the people in the class which I really appreciated. He was always full of energy and answered questions with a smile."
- Sep 2016 - Apr 2018
Tutor and Workshop Leader
EngLinks Tutoring, Queen's University, Kingston, ON, Canada
- Prepared materials and conducted in-depth exam workshops for courses such as Differential Equations, Real Analysis and Electricity and Magnetism
- Led workshops of 60-100 students
- Prepared materials and conducted in-depth exam workshops for courses such as Differential Equations, Real Analysis and Electricity and Magnetism
- May 2015 - Jul 2015
Private Tutor
Toronto, ON, Canada
- Delivered tutoring services in math, science and jazz history to 10 high school and university-level students, with successful academic outcomes
Technical Skills
- Languages: Python, MATLAB, R
- Packages: PyTorch, PyTorch Lightning, scikit-learn, SciPy, LaTeX
- Developer Tools: Git, Slurm
- Mathematics (Selected Topics): Dynamical Systems Theory, Linear Algebra, Calculus, Probability Theory, Information Theory, Operator Theory
Additional Information
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Musical composition and performance
- Co-writer, musician and performer with Erez Zobary (Jul 2019 - Present)
- Released an EP under moniker Kodachrome (Nov 2016)
- Vocal and piano performer and teacher (Sep 2010 – Apr 2018)
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Athletics
- Yoga, hiking, running, cycling, resistance training
- Completed sprint triathlon (Aug 2018)