Profile Details

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Hire Dr. Aditya S.

United Kingdom

USD 125 /hr

Computational Scientist at Imperial College London | AI, biotech, catalysis, physics | 7 years research experience

Profile Summary

I am a computational researcher with over 8 years of multidisciplinary research experience spanning the fields of computational biotechnology, chemistry, biochemistry, and data science. Currently, I am working in the domain of computational DNA nanotechnology at Imperial College London. As a consultant, I leverage my strong background in data science and mathematical modeling to develop innovative solutions tailored to each client's unique needs. My commitment to excellence and passion for problem-solving drive me to deliver the highest quality results for my clients. Over the past 3 years, I have provided consultancy services to more than 20 startups across the USA, Europe, and India, delivering valuable insights and solutions to their technical challenges. My diverse expertise enables me to effectively address a wide range of projects, including: • Evaluated and compared the performance of random forest, SVM, and deep neural network models with dimensionality reduction using PCA to predict API vulnerability scores for a computer network security client, achieving up to 67% accuracy. Employed tensorflow, keras, sklearn for model development. • Designed and implemented a framework for Hoffman's evolutionary game, simulating human-machine-AI interactions in a 2D environment to optimize agent behaviours and analyse population dynamics effectively. • Research consultant to 2 drug discovery companies: one working on a Monte Carlo based simulator for modelling protein-fragment and protein-water interactions, and the second working at an early stage of design and discovery of therapeutic medicines by combining quantum computing and AI. • Developed timeseries forecasting model using LSTM to predict seasonal demand for a wholesale apparel distributor in India resulting in $50K annual cost savings.

Subject Matter Expertise

• ★ Biotechnology & Bioengineering
• ★ Machine Learning
• ☆ Chemistry
• ☆ Statistics
• ☆ Microfluidics
• ☆ Mathematical Models
• ☆ Marketing Analytics

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Market Research, Feasibility Study, Fact Checking, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization

Product Development Formulation

Work Experience

Postdoctoral Research Associate

Imperial College London

March 2020 - Present

Postdoctoral Research Associate

Eindhoven University of Technology

July 2019 - March 2020

PhD

Delft University of Technology

July 2015 - April 2019

Junior Researcher

Tsinghua University

May 2013 - July 2013

Education

PhD in Chemical Engineering and Chemistry

Delft University of Technology

July 2015 - April 2019

Bachelor of Technology

Indian Institute of Technology, Delhi

July 2011 - May 2015

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

(2020). Deactivation Kinetics of the Catalytic Alkylation Reaction . ACS Catalysis.

(2019). Towards a particle based approach for multiscale modeling of heterogeneous catalytic reactors . Chemical Engineering Science.

(2018). Deactivation Kinetics of Solid Acid Catalyst with Laterally Interacting Protons . ACS Catalysis.

(2018). The challenge of catalyst prediction . Faraday Discussions.

(2017). Particle-based modeling of heterogeneous chemical kinetics including mass transfer . Physical Review E.

(2016). Residence time estimates for asymmetric simple exclusion dynamics on strips . Physica A: Statistical Mechanics and its Applications.