Manish Singh

Business Analyst

New York, New York, United States9 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Ph.D. in Computer Science from MIT.
Expertise in AI applications in finance and healthcare.
Proven track record in developing machine learning models.

Stackforce AI infers this person is a FinTech and AI specialist with a focus on investment management and healthcare applications.

Contact

Skills

Core Skills

Data AnalysisMachine LearningAiInvestment ManagementDeep LearningIot

Other Skills

FinTechHealthcare FinanceSustainable InvestingC++MatlabJavaAndroid DevelopmentLaTeXWeb DevelopmentMicrosoft OfficeCrowdsourcingComputer VisionCClient-server Application DevelopmentPython

About

Manish Singh is a Research Analyst/Quantitative Researcher at Cubist Systematic Strategies (Point72 Asset Management). Manish Singh did his Ph.D. from the Electrical Engineering and Computer science department at the Massachusetts Institute of Technology. He was advised by Prof. Andrew W. Lo and was a part of the Laboratory of Financial Engineering and Computer Science & AI lab. His research focused on applying data science and artificial intelligence to healthcare finance, investment management, and sustainable investing. He holds a Bachelor of Technology with a major in Electrical Engineering and a minor in Computer Science from the Indian Institute of Technology Delhi, as well as an S.M. in Electrical Engineering and Computer Science from MIT.

Experience

9 yrs 5 mos

Total Experience

1 yr 10 mos

Average Tenure

7 yrs 3 mos

Current Experience

Cubist systematic strategies

Research Analyst

Jul 2023 – Present · 2 yrs 10 mos · New York City Metropolitan Area

Machine LearningData AnalysisFinTech

Massachusetts institute of technology

Teaching Assistant

Feb 2022 – May 2022 · 3 mos

Teaching Assistant of Course Financial Market Dynamics and Human Behaviour (15.481)

Pimco

Client Solutions and Analytics PhD Intern

Jun 2021 – Aug 2021 · 2 mos · Newport Beach, California, United States

Massachusetts institute of technology

2 roles

Research Assistant at Laboratory of Financial Engineering

Jun 2019 – Present · 6 yrs 11 mos

Working on the use of AI in investment management, healthcare finance, and sustainable investing. Some of my projects are Risk premia forecast, Explainable AI Models in Consumer Credit Risk, Dynamic Industry Classification & Peer grouping system, Psychophysiological Analysis of Financial Risk Processing, and Event Study Analysis of Clinical Trial Outcomes.
Advisor: Prof. Andrew W. Lo

AIInvestment ManagementHealthcare FinanceSustainable Investing

Research Assistant at MIT Media Lab

Jan 2019 – May 2019 · 4 mos

Advisor: Fadel Adib

Worldquant research (india) private limited

Quantitative Researcher

Jul 2018 – Jan 2019 · 6 mos · Mumbai Area, India

Worked on Alpha research.

Indian institute of technology, delhi

2 roles

Undergraduate Teaching Assistant

Jan 2018 – May 2018 · 4 mos

Teaching Assistant for the course of ELL212:(Electromagnetism)

Undergraduate Research Assistant

Jan 2017 – May 2018 · 1 yr 4 mos

Working on development of light weight Deep Learning Classifiers which can be implemented on low memory devices and can be deployed in IoT settings. The project is the part of Edge ML effort of Microsoft Research India.
Supervisor: Dr Manik Varma, Researcher at Microsoft Research India (Adjunct Faculty at IIT Delhi)

Massachusetts institute of technology

Visiting Student Researcher

May 2017 – Aug 2017 · 3 mos · Greater Boston Area

Worked on realtime tracking of RFIDs using RF signals.
The project was done under SignalKinetics group of MIT Media Lab under supervisor Dr. Fadel Adib.

Deep LearningIoT

Extreme classification group,iit delhi

Undergraduate Research Assistant

Aug 2016 – Dec 2016 · 4 mos · New Delhi Area, India

Worked on item recommendation using extreme classification methods under Dr. Manik Varma Microsoft research India (Adjunct prof. at IIT Delhi)

Cnrs - centre national de la recherche scientifique

Student Intern

May 2016 – Jul 2016 · 2 mos · Grenoble Area, France

Woked on travel package recommendation. Modelled package recommendation as Composite Items (group of heterogenoues items) recommendation and
modified fuzzy clustering algorithm such that it can give personalised recommendations of Composite Items.