Research interest
- Statistics
- High dimensional likelihood-free inference
- Optimization
- Data Analysis (Healthcare)
- Computational Epidemiology
Education
- National University of Singapore, NUS
- August 2018- Present
- CGPA: 4.36 out of 5.0
- PhD Student, Institute of Operations Research and Analytics (IORA)
- Indian Institute of Science, Bangalore (IISc)
- August 2014- July 2018
- Bachelor of Science (Research), Mathematics Major
- GPA: 6.2 out of 8.0
Technical Expertise
- R
- MATLAB
- LATEX
- C
- JAVA
- Python
- MySQL
Achievements and Honors
- Singapore-India Hackathon Selected for the grand finale of Singapore-India Hackathon, IIT Madras, 2019
- NUS-NUHS-MIT Datathon Winners of Singapore-Health Hackathon, 2019
- NUS Research Scholarship, August 2018- Present
- Kishore Vaigyanik Protsahan Yojana fellowship under the Department of
Science and Technology, Government of India, August 2014- July 2018 - “Outstanding Achievement Certificate” from the Ministry of Human Resource Development, India for being in the top 0.1% in CBSE exam.
- Selected as a summer intern for the Indian Academy of Sciences fellowship.
- Selected for the Theoretical Computer Science group at the Institute of Mathematical Sciences, IMSc, Chennai, May- July 2016
- Attended Vijyoshi the National Science Camp, DST, India, 2013
Scientific Papers
- Chakraborty, A., Chandru, V., Rao, M., “ A Linear Programming Primer: From Fourier to Karmarkar”
- Annals of Operations Research, March 2019,
- https://doi.org/10.1007/s10479-019-03186-2
- A non-parametric model for prediction of dengue incidence
- Presented at the “51st Annual Convention of ORSI and International Conference ”, IIT Bombay, India, December 2018With Dr. Vijay Chandru, Professor, Robert Bosch Centre for Cyber Physical Systems, IISc
- Presented at the “51st Annual Convention of ORSI and International Conference ”, IIT Bombay, India, December 2018With Dr. Vijay Chandru, Professor, Robert Bosch Centre for Cyber Physical Systems, IISc
Undergraduate Courses
- Analysis
- Linear Algebra
- Number Theory
- Complex Analysis
- Combinatorics
- Probability Theory
- Probability Models and Statistics
- Measure Theory
- Ordinary Differential Equations
- Scientific Computing,
- Linear and Non linear optimization
- Multi-variable Calculus,
- Topology
- Game Theory Cryptography
- Digital Epidemiolog
Graduate Courses
- Stochastic Process
- Advanced Probability Theory
- Linear Programming
- Applied Econometrics
- Concentration inequalities in high dimensions
- Advanced Statistical Theory
- Convex Optimization
- Theory and Algorithms for Non-linear Programming
- Topics in Applied Statistics
