Ayan Paul

Ayan Paul Email and Phone Number

Principal Scientist (AI + Life Sciences, Institute for Experiential AI) @ Northeastern University
Boston, MA, US
Ayan Paul's Location
Boston, Massachusetts, United States, United States
Ayan Paul's Contact Details

Ayan Paul work email

Ayan Paul personal email

n/a

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About Ayan Paul

Building the Future with Interpretable and Robust AI.Physics Research: Theoretical Particle Physics, Flavour Physics, Higgs Physics, Quantum Field Theory, Development of Interpretable Machine learning and XAI for Physics.Intelligence: Structure and Dynamics of Intelligence.Epidemiology: Mathematical modelling, application of interpretable machine learning algorithms, agent-based modelling. Included in the top 1% most highly cited authors in Physics in the past 10 yrs [Microsoft Academic].Strong publication record in high-impact peer-reviewed journals and extensive mentoring experience.weapons of choice: Scientific programming skills in FORTRAN, C, C++, Python, Unix Shell Script, Mathematica, Matlab, R and Julia. Experienced in implementing Machine Learning algorithms, multivariate analysis, signal processing, statistical hypothesis testing, Bayesian inference, Markov Chain Monte Carlo, non-linear regressions, model building and model selection.

Ayan Paul's Current Company Details
Northeastern University

Northeastern University

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Principal Scientist (AI + Life Sciences, Institute for Experiential AI)
Boston, MA, US
Website:
northeastern.edu
Employees:
5
Ayan Paul Work Experience Details
  • Northeastern University
    Principal Scientist (Ai + Life Sciences, Institute For Experiential Ai)
    Northeastern University
    Boston, Ma, Us
  • Northeastern University
    Research Scientist (Ai + Life Sciences, Institute For Experiential Ai)
    Northeastern University Jul 2023 - Present
    Boston, Ma, Us
    RNA Biology and Multiomics | Mathematical Epidemiology | AI/ML Research
  • Northeastern University
    Research Fellow (Institute For Experiential Ai)
    Northeastern University May 2022 - Jul 2023
    Boston, Ma, Us
    • Build Graph Neural Networks to study the genetic predisposition for Pulmonary Diseases (team at Harvard Medical School).• Interpretable ML using CNN/ResNets for identifying anomalies from peripheral blood cell images to aid in rapid cancer detection.
  • Harvard Medical School
    Staff
    Harvard Medical School Jan 2023 - Present
    Boston, Ma, Us
    - Transcriptomics -- modeling the role of RNA binding proteins in diving alternative splicing in mRNA and their connection to phenotypes.- Application of Large Language Models and Graph Neural Networks to multi-omics datasets from short- and long-read RNA-seq, eCLIP and whole genome sequencing.
  • Karmav
    Founder & Chief Scientific Officer
    Karmav Nov 2021 - Present
    Singapore, Sg
    Building fairness and equity in cognitive automation systems for recruitment with FairKarma™️.Managing Director for the Americas, bringing leadership, business strategies and algorithmic fairness to our US operations.
  • Covis
    Co-Founder & Chief Scientific Officer
    Covis Apr 2020 - Jun 2022
    Lewes, Delaware, Us
    • Launched the CoVis app in the USA, Germany, Austria and Belgium• Designer and architect of algorithms for forecasting COVID-19 disease spread in 209 countries, 3142 counties in the USA, 401 districts in Germany, 94 districts in Austria, 388 LTLA in the UK... France, Belgium, Netherlands... etc.• Composer of the algorithms that compute the risk score on the mobile device using prevalence data, data sources and processed using ML from medical literature and individual behaviour and location.• Integral part of the design and implementation of the backend in AWS (dynamoDB, GraphQL, Cognito etc.)• Leadership role in the formation of CoVis for building business strategies, raising pre-seed funds and defining core products and services. • Winner of both formation and an advanced round of MIT COVID-19 Challenge "Beat the Pandemic 1 & 2" hackathon.
  • Desy
    Researcher At Desy, Hamburg & Senior Scientist At Humboldt Universität Zu Berlin.
    Desy Nov 2017 - May 2022
    Hamburg, Hamburg, De
    • Large scale Bayesian multivariate inference using Markov Chain Monte Carlo (HEPfit)• Interpretable Machine Learning for Particle Phenomenology using Coalition Game Theory• Regressions and Classifications using DNN and GBMs• Physics projections and visualizations for future colliders to be built in the next 50 years• Principal Investigator for the DESY Strategy Fund grant (https://desy.de/~apaul/CoVis)• Principal Investigator for the VolkswagenStiftung grant (https://desy.de/~apaul/Talisman)• Mentoring Students and early career postdocs, referee for scientific journals.
  • Infn
    Postdoctoral Fellow (Npflavour At Infn, Sezione Di Roma)
    Infn Sep 2012 - Oct 2017
    Roma, It
    • Developed the open-source codes HEPfit and BAT in C++ for Bayesian Inference using Markov Chain Monte Carlo.• Reduced the runtime of HEPfit by a factor of 50 -- 200 using Open MPI and software caching.• Implemented statistical model selection with non-linear multi-parametric models on experimental data.• Gained experience in process automation on large computer clusters using shell scripting.• Content Editor for global editions of physics textbooks for Pearson Education.
  • University Of Notre Dame Du Lac
    Teaching Assistant And Tutor
    University Of Notre Dame Du Lac Aug 2005 - May 2012
    Notre Dame, In, Us
    • Instructor for a course on FORTRAN for several summer semesters.• Tutor for physics and mathematics courses for engineering, pre-med and physics majors and graduate student.
  • University Of Notre Dame Du Lac
    Graduate Student
    University Of Notre Dame Du Lac Aug 2005 - May 2012
    Notre Dame, In, Us
    • Formulated theoretical models using current data to predict possible future experimental measurements at CERN.• Constructed an authors' collaboration network with textual analysis for a nationally funded research center.• Parsed data for all publications in 6 years from a major physics journal for authors' collaboration network construction.• Won 5 fellowships for professional development and academic research.• Participated in several science-outreach events and represented the physics department in the Graduate Students' Union.
  • Convergys India Services Private Limited
    Customer Service Specialist
    Convergys India Services Private Limited Aug 2002 - Jul 2003
    CSE for AT&T and AMEX Business Charge CardsAwarded Power of One Champion 2003 for Unparalleled Customer Satisfaction, Teamwork, Respect for Individual, Diversity, Shareowner's Trust, Corporate Citizenship and Integrity.

Ayan Paul Skills

Particle Physics Teaching Physics And Mathematics Scientific Computing C++ C Physics Mathematics Python Fortran Unix Shell Scripting Science Theory Mathematical Modeling Spectroscopy Numerical Analysis Latex Statistics Research Matlab Data Analysis Mathematica Teaching Programming Git Python

Ayan Paul Education Details

  • University Of Notre Dame
    University Of Notre Dame
    Physics
  • University Of Notre Dame
    University Of Notre Dame
    Physics
  • S N Bose National Center For Basic Sciences
    S N Bose National Center For Basic Sciences
    Physics
  • Recruitment
    Recruitment
    Mathematics And Statistics
  • South Point High School
    South Point High School
    Science

Frequently Asked Questions about Ayan Paul

What company does Ayan Paul work for?

Ayan Paul works for Northeastern University

What is Ayan Paul's role at the current company?

Ayan Paul's current role is Principal Scientist (AI + Life Sciences, Institute for Experiential AI).

What is Ayan Paul's email address?

Ayan Paul's email address is apaul2@nd.edu

What is Ayan Paul's direct phone number?

Ayan Paul's direct phone number is +3933480*****

What schools did Ayan Paul attend?

Ayan Paul attended University Of Notre Dame, University Of Notre Dame, S N Bose National Center For Basic Sciences, Recruitment, South Point High School.

What are some of Ayan Paul's interests?

Ayan Paul has interest in Research And Teaching, Physics.

What skills is Ayan Paul known for?

Ayan Paul has skills like Particle Physics, Teaching Physics And Mathematics, Scientific Computing, C++, C, Physics, Mathematics, Python, Fortran, Unix Shell Scripting, Science, Theory.

Who are Ayan Paul's colleagues?

Ayan Paul's colleagues are Alexis Deleon, Eddie Lee, Lucy Schneller, Aloisia (Alice) Schmid, Alexis Dami, Xingdong Li, Kai B..

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