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    Clarifying the NYU Researcher Identity

    31 min
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    Jan 25, 2026
    TechnologyScienceEducation

    We investigate a name mix-up, revealing that the researcher in question is likely Tong Liu at NYU Tandon, a PhD candidate specializing in smart transportation and data-driven control systems.

    Clarifying the NYU Researcher Identity

    Best quote from Clarifying the NYU Researcher Identity

    “

    Distributed optimization allows multiple systems to work together, sharing information and making decisions collectively, rather than having one central computer creating bottlenecks and single points of failure.

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    Who is Lisha Tong from NYU

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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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    "Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

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    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

    @Erin, Investment Banking Associate , NYC
    platform
    comments
    254
    likes
    17

    "Feels effortless compared to reading. I’ve finished 6 books this month already."

    @djmikemoore
    platform
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    star

    "BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

    @Pitiful
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    "BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

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    "The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

    @Leo, Law Student, UPenn
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    483

    "Makes me feel smarter every time before going to work"

    @Cashflowbubu
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    Celebrities' reading list
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    Award winning collection
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    Featured Topics
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    Best books by Year
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
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    Key Takeaways

    1

    Unmasking the Real NYU Researcher

    0:00
    0:12
    0:27
    0:30
    0:42
    0:46
    1:04
    2

    The Smart Transportation Revolution

    1:13
    1:34
    1:41
    2:04
    2:10
    2:31
    2:39
    2:56
    3:01
    3:25
    3:32
    3:49
    0:30
    4:19
    4:22
    3

    The Data-Driven Control Revolution

    4:35
    4:44
    5:01
    5:05
    5:22
    5:27
    5:45
    5:49
    6:07
    3:01
    6:27
    6:31
    6:55
    6:59
    7:18
    7:25
    7:38
    7:44
    4

    The Beijing Jiaotong Connection

    7:59
    8:14
    8:32
    8:38
    8:57
    3:01
    9:21
    9:28
    9:44
    0:30
    10:05
    10:11
    10:30
    10:35
    10:51
    5:05
    5

    Engineering the Future at NYU Tandon

    11:18
    11:25
    11:43
    0:30
    12:03
    12:11
    12:26
    12:32
    12:50
    12:55
    13:08
    13:11
    13:23
    3:01
    13:44
    13:52
    14:09
    0:30
    6

    The Distributed Optimization Deep Dive

    14:30
    14:39
    14:56
    14:59
    15:13
    5:05
    2:04
    15:42
    15:53
    15:57
    16:13
    6:31
    16:34
    16:40
    16:54
    16:58
    17:09
    5:05
    7

    Real-World Applications and Future Possibilities

    17:33
    17:40
    17:53
    17:55
    18:12
    18:15
    18:31
    7:44
    18:54
    18:57
    19:13
    3:01
    19:35
    10:35
    19:55
    20:00
    20:16
    0:30
    20:33
    20:38
    20:53
    21:00
    8

    The Academic Journey and Research Process

    21:15
    21:24
    21:40
    21:43
    21:54
    21:59
    22:13
    22:16
    22:28
    22:34
    22:49
    3:01
    23:07
    23:13
    23:26
    0:30
    23:46
    23:54
    24:15
    10:35
    9

    Practical Playbook for Understanding Smart Transportation

    24:39
    24:47
    25:10
    0:30
    25:28
    25:33
    25:46
    25:49
    26:04
    3:01
    26:25
    26:28
    26:40
    26:47
    27:06
    27:11
    27:28
    27:35
    27:52
    27:57
    10

    Looking Forward and Wrapping Up

    28:17
    28:28
    28:41
    0:30
    29:06
    29:22
    29:34
    29:48
    29:59
    30:08
    30:20
    30:25
    30:41
    3:01
    31:05
    31:15
    31:30

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