Fransisca Susan: Lulus S1 Langsung Diterima Program Doktoral di Massachusetts

Diketahui, Susan adalah mahasiswa Ph.D tahun keempat di Pusat Riset di MIT dengan pembimbing Prof. Negin Golrezaei. Minat penelitiannya pada bidang pembelajaran mesin, algoritme kombinatorial, algoritme aproksimasi, dan desain mekanisme dengan aplikasi untuk manajemen pendapatan dan pasar online.

Ia menyelesaikan studi sarjana di MIT pada tahun 2018 dengan gelar SB di bidang Matematika dan Teknik Elektro dan Ilmu Komputer. Selama kuliah, ia mendapat kesempatan untuk magang di beberapa perusahaan antara lain Meta, Twitter, Goldman Sachs, dan Traveloka. Sebelum S1, ia sekolah di SMAK 1 PENABUR Jakarta. Berikut ini portofolio Fransisca Susan seperti dikutip dari laman resmi MIT.

Research

• Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization with Rad Niazadeh, Negin Golrezaei, Joshua Wang, and Ashwinkumar Badanidiyuru. Under review for INFORMS Management Science Journal, 2022
• Active Learning for a Non-Parametric Choice Model with Negin Golrezaei, David Kempe, and Ehsan Emamjomeh-Zadeh. Working Paper
• Fair Assortment Planning with Qinyi Chen, Negin Golrezaei, and Edy Baskoro. Working Paper
• SCRAM: Securely Measuring Cyber Risk with Leo de Castro, Andrew W. Lo, Taylor Reynolds, Vinod Vaikuntanathan, Daniel Weitzner, and Nicolas Zhang in Harvard Data Science Review, 2020

Recent Talks

• “Active Learning for a Non-Parametric Choice Model”, INFORMS Annual Meeting, 2021.
• “Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization”, ACM Conference on Economics and Computation, 2021.
• “Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization”, INFORMS Annual Meeting, 2020.

Teaching

• 6.036/6.862: Introduction to Machine Learning/Applied Machine Learning. Spring 2018.
  Teaching Assistant (Instructor: Leslie P. Kaelbling, Tomas Lozano-Perez, Justin Solomon, Antonio Torralba)

Projects

• Online Feature Selection for Regression
• Finding the Bad Apples in the Bunch: Using Robust Optimization to Optimally Structure A Cancer Fund
• What Do Neural Machine Translation Model Infers About Multiple Semantics of Homonyms? with Yonatan Belinkov and James Glass
• Transfer Learning in Question Retrieval Tasks for Health Platform

Awards and Honors

• Tau Beta Pi Fellowship, 2019
• Keel Foundation Undergraduate Research and Innovation Scholars Recipient, 2018-2019
• Honorable Mention in William Lowell Putnam Mathematical Competition, 2017

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