Ayan Paul Email & Phone Number

Boston, MA, US

Boston, MA, US

RNA Biology and Multiomics | Mathematical Epidemiology | AI/ML Research

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.

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.

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.

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.
• 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.

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)

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.

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.

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.

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.

Doctor Of Philosophy - Phd, Physics

Master Of Science - Ms, Physics

Msc, Physics

Bsc, Physics, Mathematics And Statistics

Higher Secondary, Science