Jan 2020 – Jan 2022 · 2 yrs

• Statistical Genetics, Proteomics, Clinical Trials, Pharmacology
• I analyzed the proteomics data at multiple timepoints in the global clinical trial of a lipid-lowering drug to demonstrate its efficacy and safety. I also Constructed the genetic framework using sequence variants and their effects on plasma protein levels to substantiate PCSK9-inhibitory action of the drug in patients with elevated cardiovascular risk.
• AI/ML in medicine
• I built deep learning models for phenotypes predictions using DXA imaging data from UK biobank study. I Conceived, implemented, and diagnosed in TensorFlow neural network architectures to predict binary as well as continuous phenotypes, and successfully applied to predict grip strengths using whole body scans and hip events using femur scans of patients.

Jan 2019 – Jan 2020 · 1 yr

• Disease Modeling, Healthcare Data Analytics, Oral Health & Medicine
• I completed a cost-effectiveness study for the impact of HPV vaccination in preventing oropharyngeal cancer. Using the insurance claims data, I established the link between periodontal disease in mothers with pregnancy complications and also estimated the costs associated with oral complications of head and neck cancer therapies.

Jan 2017 – Jan 2017 · 0 mo · Troy, New York

• Statistical Data Analysis, Machine Learning
• As part of research group, I applied the skills of quantitative data analysis and machine learning to investigate and discover trends from the large scale job market datasets in healthcare industry.

Aug 2014 – Dec 2016 · 2 yrs 4 mos · Troy, New York

• Teaching, Mentoring
• I have served as a teaching assistant in department of Mathematics for the following undergraduate and graduate level courses:
• Multivariable Calculus & Matrix Algebra
• Ordinary Differential Equations and Dynamical Systems
• Probability Theory and Applications
• Numerical Computing
• Foundations of applied Mathematics
• Computational Optimization
• My main responsibilities were:
• Teach in weekly recitations for all sections
• Hold office hours and provide assistance to students
• Grade homeworks and weekly quizzes
• Hold lectures and conduct exams on occasions

Jan 2014 – Jan 2019 · 5 yrs · Troy, New York

• Probability & Stochastics, Mathematical Modeling, Biophysics, Cellular biology
• My work was on modeling of random (stochastic) transport processes inside living cells. Using stochastic differential equations for molecular motor and cargo, I developed the mathematical framework to analyze effective transport inside different parts of a neuron. I also designed an advanced numerical method to establish the credibility of analytical findings through simulations.

Jan 2013 – Jan 2013 · 0 mo · Greater Delhi Area

• Scientific Laboratory, Teaching Assistant
• As a teaching and laboratory assistant for masters’ level scientific software development lab, I was responsible for:
• Weekly meetings, grading homework assignments and quizzes
• Leading discussion sessions to assist students
• Assisting instructor with organization of content and conducting exams

Jan 2012 – Jan 2013 · 1 yr · Greater Delhi Area

• Error correcting codes, Decision Theory
• I worked as a research assistant for dept. of Mathematics. In two separate projects, I
• Implemented construction models for two-dimensional codes capable of
• correcting straight clusters of any given length and rectangular clusters of 3 erroneous elements,
• and
• Built the platform for decision making with multiple criteria (MCDM) in economic environments using outranking approaches ELECTRE III and PROMETHEE methods.

Jan 2013 – Jan 2014 · 1 yr · Greater Madison Area

• Medical Software, Web Technology
• As a full time employee at Epic Systems, I worked on classification and design of print group activities used for report printing in hospitals and received certifications in Patient Portal, EpicCare-Inpatient core, Web technology and C# .NET framework.

Jan 2012 – Jan 2012 · 0 mo · Greater Paris Metropolitan Region

• Data Visualization, Data Provenance
• As part of summer internship, with team Oak at Saclay-INRIA, I Implemented hybrid explanation algorithm Conseil for missing data as part of Nautilus System and designed the architecture for Data Flow in a general non-monotonous SQL query which functions as a dynamic user interface.

May 2011 – Jul 2011 · 2 mos · Bengaluru, Karnataka, India

• Qt-Generic Component Framework, Data Visualization
• As part of summer internship, I developed the GCF component in UI Framework Qt for GCF Application Server making it possible for a QGraphicScene to be shared across different platforms. I was also responsible for extending the interface to support and access data objects on application server other than native C++ and Qt elements.