Professional & Academic Experience

This page summarizes my academic positions, research visits, teaching experience, invited talks, internships, and selected academic achievements.

  • Postdoctoral Researcher, Aarhus University, Department of Mathematics, Stochastics Group ( – present).
  • Co-supervisor of Ph.D. student, Aarhus University, Department of Mathematics ( – present).
  • Visiting Researcher, University of Augsburg, Department of Mathematics ().
  • Visiting Research Scholar, Purdue University, School of Industrial Engineering, West Lafayette, USA (Summer ).

Teaching Experience

  • Lecturer, Random Networks, Aarhus University, Department of Mathematics (Spring ).
  • Lecturer, Monte Carlo Simulation, Aarhus University, Department of Mathematics (Fall ).
  • Teaching Assistant, Calculus, Probability, and Statistics, Eindhoven University of Technology ( – ).

Invited Talks and Presentations

  • Invited Speaker, University of Augsburg, Department of Mathematics ().
  • Invited Speaker, Concluding NETWORKS Conference, The Netherlands ().
  • Poster Presentation, ICTS-NETWORKS Workshop “Challenges in Networks”, ICTS Bengaluru, India ( – ).
  • Poster Presentation, LMS Probability Research School, University of Liverpool ( – ).
  • Speaker, NETWORKS Training Week, Asperen, the Netherlands (; ).
  • Invited Speaker, Bézout–Eurandom Conference / Franco–Dutch Meeting, Institut Henri Poincaré, Paris ().
  • Invited Participant, Master Classes in Probability, University of Strasbourg ().

Internships

  • State Street Global Advisors, Bangalore - Active Quantitative Equity Intern, Summer .
    • Studied portfolio optimization, including factor-model-based optimization.
    • Accelerated large-scale matrix inversion via the Woodbury identity; the unconstrained step was reduced to under two seconds in dimension approximately 2×105.
    • Applied constrained portfolio optimization using CVXR with more than 45,000 assets and 250 industry/style factors.
  • NovelSynth Soft Solutions (Petrabytes), Bangalore - Research Intern, Machine Learning, Winter .
    • Studied and documented core machine learning algorithms with worked examples on provided datasets.

Academic Achievements & Awards

  • ISI Teachers’ Committee Award for outstanding academic performance in the M.Stat. programme (2018–2020).
  • ISI Teachers’ Committee Award for outstanding academic performance in the B.Math. (Hons.) programme, awarded in 5 of 6 semesters (2015–2018).
  • Institute stipend/fellowship throughout the M.Stat. (2018–2020) and B.Math. (Hons.) (2015–2018) programmes.
  • Nominee for the P. C. Mahalanobis Gold Medal, Top 4 in the M.Stat. cohort, Indian Statistical Institute.
  • International Rank 41 and Zonal Rank 1 in Uttar Pradesh and Uttarakhand, SOF International Mathematics Olympiad (2015).
  • All India Rank 9, M.Stat. Entrance Examination, Indian Statistical Institute.
  • Top 1% in NSEP (2014–2015); Merit Certificate, Indian Association of Physics Teachers.

Curriculum Vitae

You can view or download my CV by clicking the button below.

📄 Download CV

GitHub: Visit my GitHub

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